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Silicon Architect, Reality Labs
92108 Mission Valley, California
Meta
Posted 2 days ago
Job Viewed
Job Description
**Summary:**
Reality Labs (RL) focuses on delivering Meta's vision through AI-first devices that leverage Mixed Reality (MR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Mixed and Augmented Reality require custom silicon. The Reality Labs Silicon team is driving the state-of-the-art forward with highly integrated SoCs that leverage breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & MR devices that blend our real and virtual worlds throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.We are looking for a Silicon Architect who will collaborate with a world-class group of SoC and IP architects, modeling, development, and validation teams, firmware developers, and program managers to accelerate the development and market introduction of low power highly customized SoCs.
**Required Skills:**
Silicon Architect, Reality Labs Responsibilities:
1. Architecture definition and specification for improvements to the SoC chassis architecture
2. Specification for feature improvements to our chassis generators
3. Work cross-functionally with SoC and IP architecture, performance/power modeling, logic design and verification, physical implementation, firmware, CAD, and prototyping teams
4. Work effectively as an individual and in a multidisciplinary multi-site team
**Minimum Qualifications:**
Minimum Qualifications:
5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6. 5+ years of experience integrating SoCs or complex IP-based subsystems as a Silicon Architect or Digital Design Engineer
7. Experience in evaluating trade-offs such as speed, performance, power, area
8. Experience in employing scientific methods to debug, diagnose and drive the resolution of cross-disciplinary design issues
9. Hands-on experience in digital design, logic simulation, and performance analysis
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience architecting or designing chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
11. Experience deploying chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
12. Experience deploying Networks-on-Chip (NoCs) leveraging on-chip interface protocols such as AMBA AXI for heterogeneous SoCs targeting consumer or mobile devices
13. Experience with developing tools to generate RTL
14. Experience with scripting languages like Python to facilitate task automation
15. Experience collaborating in a multi-site team environment
**Public Compensation:**
$142,000/year to $203,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Reality Labs (RL) focuses on delivering Meta's vision through AI-first devices that leverage Mixed Reality (MR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Mixed and Augmented Reality require custom silicon. The Reality Labs Silicon team is driving the state-of-the-art forward with highly integrated SoCs that leverage breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & MR devices that blend our real and virtual worlds throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.We are looking for a Silicon Architect who will collaborate with a world-class group of SoC and IP architects, modeling, development, and validation teams, firmware developers, and program managers to accelerate the development and market introduction of low power highly customized SoCs.
**Required Skills:**
Silicon Architect, Reality Labs Responsibilities:
1. Architecture definition and specification for improvements to the SoC chassis architecture
2. Specification for feature improvements to our chassis generators
3. Work cross-functionally with SoC and IP architecture, performance/power modeling, logic design and verification, physical implementation, firmware, CAD, and prototyping teams
4. Work effectively as an individual and in a multidisciplinary multi-site team
**Minimum Qualifications:**
Minimum Qualifications:
5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6. 5+ years of experience integrating SoCs or complex IP-based subsystems as a Silicon Architect or Digital Design Engineer
7. Experience in evaluating trade-offs such as speed, performance, power, area
8. Experience in employing scientific methods to debug, diagnose and drive the resolution of cross-disciplinary design issues
9. Hands-on experience in digital design, logic simulation, and performance analysis
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience architecting or designing chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
11. Experience deploying chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
12. Experience deploying Networks-on-Chip (NoCs) leveraging on-chip interface protocols such as AMBA AXI for heterogeneous SoCs targeting consumer or mobile devices
13. Experience with developing tools to generate RTL
14. Experience with scripting languages like Python to facilitate task automation
15. Experience collaborating in a multi-site team environment
**Public Compensation:**
$142,000/year to $203,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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0
Silicon Architect, Reality Labs
94086 Sunnyvale, California
Meta
Posted 2 days ago
Job Viewed
Job Description
**Summary:**
Reality Labs (RL) focuses on delivering Meta's vision through AI-first devices that leverage Mixed Reality (MR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Mixed and Augmented Reality require custom silicon. The Reality Labs Silicon team is driving the state-of-the-art forward with highly integrated SoCs that leverage breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & MR devices that blend our real and virtual worlds throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.We are looking for a Silicon Architect who will collaborate with a world-class group of SoC and IP architects, modeling, development, and validation teams, firmware developers, and program managers to accelerate the development and market introduction of low power highly customized SoCs.
**Required Skills:**
Silicon Architect, Reality Labs Responsibilities:
1. Architecture definition and specification for improvements to the SoC chassis architecture
2. Specification for feature improvements to our chassis generators
3. Work cross-functionally with SoC and IP architecture, performance/power modeling, logic design and verification, physical implementation, firmware, CAD, and prototyping teams
4. Work effectively as an individual and in a multidisciplinary multi-site team
**Minimum Qualifications:**
Minimum Qualifications:
5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6. 5+ years of experience integrating SoCs or complex IP-based subsystems as a Silicon Architect or Digital Design Engineer
7. Experience in evaluating trade-offs such as speed, performance, power, area
8. Experience in employing scientific methods to debug, diagnose and drive the resolution of cross-disciplinary design issues
9. Hands-on experience in digital design, logic simulation, and performance analysis
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience architecting or designing chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
11. Experience deploying chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
12. Experience deploying Networks-on-Chip (NoCs) leveraging on-chip interface protocols such as AMBA AXI for heterogeneous SoCs targeting consumer or mobile devices
13. Experience with developing tools to generate RTL
14. Experience with scripting languages like Python to facilitate task automation
15. Experience collaborating in a multi-site team environment
**Public Compensation:**
$142,000/year to $203,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Reality Labs (RL) focuses on delivering Meta's vision through AI-first devices that leverage Mixed Reality (MR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Mixed and Augmented Reality require custom silicon. The Reality Labs Silicon team is driving the state-of-the-art forward with highly integrated SoCs that leverage breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & MR devices that blend our real and virtual worlds throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.We are looking for a Silicon Architect who will collaborate with a world-class group of SoC and IP architects, modeling, development, and validation teams, firmware developers, and program managers to accelerate the development and market introduction of low power highly customized SoCs.
**Required Skills:**
Silicon Architect, Reality Labs Responsibilities:
1. Architecture definition and specification for improvements to the SoC chassis architecture
2. Specification for feature improvements to our chassis generators
3. Work cross-functionally with SoC and IP architecture, performance/power modeling, logic design and verification, physical implementation, firmware, CAD, and prototyping teams
4. Work effectively as an individual and in a multidisciplinary multi-site team
**Minimum Qualifications:**
Minimum Qualifications:
5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6. 5+ years of experience integrating SoCs or complex IP-based subsystems as a Silicon Architect or Digital Design Engineer
7. Experience in evaluating trade-offs such as speed, performance, power, area
8. Experience in employing scientific methods to debug, diagnose and drive the resolution of cross-disciplinary design issues
9. Hands-on experience in digital design, logic simulation, and performance analysis
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience architecting or designing chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
11. Experience deploying chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
12. Experience deploying Networks-on-Chip (NoCs) leveraging on-chip interface protocols such as AMBA AXI for heterogeneous SoCs targeting consumer or mobile devices
13. Experience with developing tools to generate RTL
14. Experience with scripting languages like Python to facilitate task automation
15. Experience collaborating in a multi-site team environment
**Public Compensation:**
$142,000/year to $203,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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1
Silicon Architect, Reality Labs
98073 Snoqualmie, Washington
Meta
Posted 11 days ago
Job Viewed
Job Description
**Summary:**
Reality Labs (RL) focuses on delivering Meta's vision through AI-first devices that leverage Mixed Reality (MR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Mixed and Augmented Reality require custom silicon. The Reality Labs Silicon team is driving the state-of-the-art forward with highly integrated SoCs that leverage breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & MR devices that blend our real and virtual worlds throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.We are looking for a Silicon Architect who will collaborate with a world-class group of SoC and IP architects, modeling, development, and validation teams, firmware developers, and program managers to accelerate the development and market introduction of low power highly customized SoCs.
**Required Skills:**
Silicon Architect, Reality Labs Responsibilities:
1. Architecture definition and specification for improvements to the SoC chassis architecture
2. Specification for feature improvements to our chassis generators
3. Work cross-functionally with SoC and IP architecture, performance/power modeling, logic design and verification, physical implementation, firmware, CAD, and prototyping teams
4. Work effectively as an individual and in a multidisciplinary multi-site team
**Minimum Qualifications:**
Minimum Qualifications:
5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6. 5+ years of experience integrating SoCs or complex IP-based subsystems as a Silicon Architect or Digital Design Engineer
7. Experience in evaluating trade-offs such as speed, performance, power, area
8. Experience in employing scientific methods to debug, diagnose and drive the resolution of cross-disciplinary design issues
9. Hands-on experience in digital design, logic simulation, and performance analysis
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience architecting or designing chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
11. Experience deploying chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
12. Experience deploying Networks-on-Chip (NoCs) leveraging on-chip interface protocols such as AMBA AXI for heterogeneous SoCs targeting consumer or mobile devices
13. Experience with developing tools to generate RTL
14. Experience with scripting languages like Python to facilitate task automation
15. Experience collaborating in a multi-site team environment
**Public Compensation:**
$142,000/year to $203,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Reality Labs (RL) focuses on delivering Meta's vision through AI-first devices that leverage Mixed Reality (MR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Mixed and Augmented Reality require custom silicon. The Reality Labs Silicon team is driving the state-of-the-art forward with highly integrated SoCs that leverage breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & MR devices that blend our real and virtual worlds throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.We are looking for a Silicon Architect who will collaborate with a world-class group of SoC and IP architects, modeling, development, and validation teams, firmware developers, and program managers to accelerate the development and market introduction of low power highly customized SoCs.
**Required Skills:**
Silicon Architect, Reality Labs Responsibilities:
1. Architecture definition and specification for improvements to the SoC chassis architecture
2. Specification for feature improvements to our chassis generators
3. Work cross-functionally with SoC and IP architecture, performance/power modeling, logic design and verification, physical implementation, firmware, CAD, and prototyping teams
4. Work effectively as an individual and in a multidisciplinary multi-site team
**Minimum Qualifications:**
Minimum Qualifications:
5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6. 5+ years of experience integrating SoCs or complex IP-based subsystems as a Silicon Architect or Digital Design Engineer
7. Experience in evaluating trade-offs such as speed, performance, power, area
8. Experience in employing scientific methods to debug, diagnose and drive the resolution of cross-disciplinary design issues
9. Hands-on experience in digital design, logic simulation, and performance analysis
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience architecting or designing chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
11. Experience deploying chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
12. Experience deploying Networks-on-Chip (NoCs) leveraging on-chip interface protocols such as AMBA AXI for heterogeneous SoCs targeting consumer or mobile devices
13. Experience with developing tools to generate RTL
14. Experience with scripting languages like Python to facilitate task automation
15. Experience collaborating in a multi-site team environment
**Public Compensation:**
$142,000/year to $203,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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2
Silicon Architect, Reality Labs
78703 Austin, Texas
Meta
Posted 11 days ago
Job Viewed
Job Description
**Summary:**
Reality Labs (RL) focuses on delivering Meta's vision through AI-first devices that leverage Mixed Reality (MR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Mixed and Augmented Reality require custom silicon. The Reality Labs Silicon team is driving the state-of-the-art forward with highly integrated SoCs that leverage breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & MR devices that blend our real and virtual worlds throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.We are looking for a Silicon Architect who will collaborate with a world-class group of SoC and IP architects, modeling, development, and validation teams, firmware developers, and program managers to accelerate the development and market introduction of low power highly customized SoCs.
**Required Skills:**
Silicon Architect, Reality Labs Responsibilities:
1. Architecture definition and specification for improvements to the SoC chassis architecture
2. Specification for feature improvements to our chassis generators
3. Work cross-functionally with SoC and IP architecture, performance/power modeling, logic design and verification, physical implementation, firmware, CAD, and prototyping teams
4. Work effectively as an individual and in a multidisciplinary multi-site team
**Minimum Qualifications:**
Minimum Qualifications:
5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6. 5+ years of experience integrating SoCs or complex IP-based subsystems as a Silicon Architect or Digital Design Engineer
7. Experience in evaluating trade-offs such as speed, performance, power, area
8. Experience in employing scientific methods to debug, diagnose and drive the resolution of cross-disciplinary design issues
9. Hands-on experience in digital design, logic simulation, and performance analysis
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience architecting or designing chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
11. Experience deploying chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
12. Experience deploying Networks-on-Chip (NoCs) leveraging on-chip interface protocols such as AMBA AXI for heterogeneous SoCs targeting consumer or mobile devices
13. Experience with developing tools to generate RTL
14. Experience with scripting languages like Python to facilitate task automation
15. Experience collaborating in a multi-site team environment
**Public Compensation:**
$142,000/year to $203,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Reality Labs (RL) focuses on delivering Meta's vision through AI-first devices that leverage Mixed Reality (MR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Mixed and Augmented Reality require custom silicon. The Reality Labs Silicon team is driving the state-of-the-art forward with highly integrated SoCs that leverage breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & MR devices that blend our real and virtual worlds throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.We are looking for a Silicon Architect who will collaborate with a world-class group of SoC and IP architects, modeling, development, and validation teams, firmware developers, and program managers to accelerate the development and market introduction of low power highly customized SoCs.
**Required Skills:**
Silicon Architect, Reality Labs Responsibilities:
1. Architecture definition and specification for improvements to the SoC chassis architecture
2. Specification for feature improvements to our chassis generators
3. Work cross-functionally with SoC and IP architecture, performance/power modeling, logic design and verification, physical implementation, firmware, CAD, and prototyping teams
4. Work effectively as an individual and in a multidisciplinary multi-site team
**Minimum Qualifications:**
Minimum Qualifications:
5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6. 5+ years of experience integrating SoCs or complex IP-based subsystems as a Silicon Architect or Digital Design Engineer
7. Experience in evaluating trade-offs such as speed, performance, power, area
8. Experience in employing scientific methods to debug, diagnose and drive the resolution of cross-disciplinary design issues
9. Hands-on experience in digital design, logic simulation, and performance analysis
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience architecting or designing chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
11. Experience deploying chip pervasive logic such as clock generation, reset, and power management of SoCs with multiple clock and voltage domains for battery-operated systems
12. Experience deploying Networks-on-Chip (NoCs) leveraging on-chip interface protocols such as AMBA AXI for heterogeneous SoCs targeting consumer or mobile devices
13. Experience with developing tools to generate RTL
14. Experience with scripting languages like Python to facilitate task automation
15. Experience collaborating in a multi-site team environment
**Public Compensation:**
$142,000/year to $203,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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3
SDE I - Systems, Runtime, and ML Infrastructure (AWS Custom Silicon), Annapurna Labs
95015 Las Lomas, California
Amazon
Posted 2 days ago
Job Viewed
Job Description
Description
At AWS, we're pioneering the future of cloud computing and AI acceleration through innovative hardware-software co-design. Our teams within Annapurna Labs and AWS AI are creating the foundation for next-generation cloud infrastructure that powers thousands of customers worldwide, from cutting-edge startups to global enterprises.
We operate at an unprecedented scale, designing custom silicon chips, advanced networking solutions, and ML accelerators that were unimaginable just a few years ago.
Our work spans from the lowest levels of hardware abstraction to high-performance distributed training systems, creating unique opportunities for early-career engineers to make significant impact across multiple domains.
Key job responsibilities
- Develop and optimize software for custom hardware and ML infrastructure
- Collaborate with hardware teams to understand and leverage chip architecture
- Implement and improve networking, runtime, and system-level software
- Assist in building and maintaining tools for profiling, monitoring, and debugging ML workloads
- Contribute to the development of open-source ML frameworks and infrastructure projects
- Participate in code reviews and implement best practices for software development
- Learn and apply new technologies to solve complex engineering challenges
About the team
Candidates will be routed to specific teams based on their interests and our current needs during the application process:
- The Elastic Network Adapter (ENA) team revolutionizes EC2 core networking, enabling enhanced networking capabilities across AWS's most critical compute instances. Here, you'll work with networking protocols and high-performance drivers that power millions of cloud workloads.
- Our AWS Neuron SDK team develops the complete software stack for custom ML accelerators (Inferentia and Trainium), democratizing access to AI infrastructure. This team bridges the gap between popular ML frameworks and custom hardware.
- The Machine Learning Server Software team maintains and optimizes the world's most advanced ML servers, focusing on system-level software that ensures peak performance of AI workloads. While we don't work directly on ML algorithms, we build the critical infrastructure that makes ML possible at scale.
- The SoC Hardware Abstraction Layer (HAL) team works at the intersection of hardware and software, developing the crucial middleware that manages our custom silicon chips. This team ensures our innovative hardware designs translate into reliable, high-performance solutions.
Basic Qualifications
- To qualify, applicants should have earned (or expect to earn) a Bachelor's or Master's degree between December 2022 to September 2025.
- Strong programming skills in C/C++ or Python, with solid understanding of data structures and algorithms
- Understanding of computer architecture, operating systems, and Linux environments
- Internship or project experience related to systems programming, networking, or ML
Preferred Qualifications
- Familiarity with version control systems (e.g., Git) and software development methodologies
- Knowledge of ML concepts or frameworks (e.g., PyTorch, TensorFlow)
- Interest in open-source development or contributions to technical communities
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
At AWS, we're pioneering the future of cloud computing and AI acceleration through innovative hardware-software co-design. Our teams within Annapurna Labs and AWS AI are creating the foundation for next-generation cloud infrastructure that powers thousands of customers worldwide, from cutting-edge startups to global enterprises.
We operate at an unprecedented scale, designing custom silicon chips, advanced networking solutions, and ML accelerators that were unimaginable just a few years ago.
Our work spans from the lowest levels of hardware abstraction to high-performance distributed training systems, creating unique opportunities for early-career engineers to make significant impact across multiple domains.
Key job responsibilities
- Develop and optimize software for custom hardware and ML infrastructure
- Collaborate with hardware teams to understand and leverage chip architecture
- Implement and improve networking, runtime, and system-level software
- Assist in building and maintaining tools for profiling, monitoring, and debugging ML workloads
- Contribute to the development of open-source ML frameworks and infrastructure projects
- Participate in code reviews and implement best practices for software development
- Learn and apply new technologies to solve complex engineering challenges
About the team
Candidates will be routed to specific teams based on their interests and our current needs during the application process:
- The Elastic Network Adapter (ENA) team revolutionizes EC2 core networking, enabling enhanced networking capabilities across AWS's most critical compute instances. Here, you'll work with networking protocols and high-performance drivers that power millions of cloud workloads.
- Our AWS Neuron SDK team develops the complete software stack for custom ML accelerators (Inferentia and Trainium), democratizing access to AI infrastructure. This team bridges the gap between popular ML frameworks and custom hardware.
- The Machine Learning Server Software team maintains and optimizes the world's most advanced ML servers, focusing on system-level software that ensures peak performance of AI workloads. While we don't work directly on ML algorithms, we build the critical infrastructure that makes ML possible at scale.
- The SoC Hardware Abstraction Layer (HAL) team works at the intersection of hardware and software, developing the crucial middleware that manages our custom silicon chips. This team ensures our innovative hardware designs translate into reliable, high-performance solutions.
Basic Qualifications
- To qualify, applicants should have earned (or expect to earn) a Bachelor's or Master's degree between December 2022 to September 2025.
- Strong programming skills in C/C++ or Python, with solid understanding of data structures and algorithms
- Understanding of computer architecture, operating systems, and Linux environments
- Internship or project experience related to systems programming, networking, or ML
Preferred Qualifications
- Familiarity with version control systems (e.g., Git) and software development methodologies
- Knowledge of ML concepts or frameworks (e.g., PyTorch, TensorFlow)
- Interest in open-source development or contributions to technical communities
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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4
SDE I - Systems, Runtime, and ML Infrastructure (AWS Custom Silicon), Annapurna Labs
98194 Seattle, Washington
Amazon
Posted 10 days ago
Job Viewed
Job Description
Description
At AWS, we're pioneering the future of cloud computing and AI acceleration through innovative hardware-software co-design. Our teams within Annapurna Labs and AWS AI are creating the foundation for next-generation cloud infrastructure that powers thousands of customers worldwide, from cutting-edge startups to global enterprises.
We operate at an unprecedented scale, designing custom silicon chips, advanced networking solutions, and ML accelerators that were unimaginable just a few years ago.
Our work spans from the lowest levels of hardware abstraction to high-performance distributed training systems, creating unique opportunities for early-career engineers to make significant impact across multiple domains.
Key job responsibilities
- Develop and optimize software for custom hardware and ML infrastructure
- Collaborate with hardware teams to understand and leverage chip architecture
- Implement and improve networking, runtime, and system-level software
- Assist in building and maintaining tools for profiling, monitoring, and debugging ML workloads
- Contribute to the development of open-source ML frameworks and infrastructure projects
- Participate in code reviews and implement best practices for software development
- Learn and apply new technologies to solve complex engineering challenges
About the team
Candidates will be routed to specific teams based on their interests and our current needs during the application process:
- The Elastic Network Adapter (ENA) team revolutionizes EC2 core networking, enabling enhanced networking capabilities across AWS's most critical compute instances. Here, you'll work with networking protocols and high-performance drivers that power millions of cloud workloads.
- Our AWS Neuron SDK team develops the complete software stack for custom ML accelerators (Inferentia and Trainium), democratizing access to AI infrastructure. This team bridges the gap between popular ML frameworks and custom hardware.
- The Machine Learning Server Software team maintains and optimizes the world's most advanced ML servers, focusing on system-level software that ensures peak performance of AI workloads. While we don't work directly on ML algorithms, we build the critical infrastructure that makes ML possible at scale.
- The SoC Hardware Abstraction Layer (HAL) team works at the intersection of hardware and software, developing the crucial middleware that manages our custom silicon chips. This team ensures our innovative hardware designs translate into reliable, high-performance solutions.
Basic Qualifications
- To qualify, applicants should have earned (or expect to earn) a Bachelor's or Master's degree between December 2022 to September 2025.
- Strong programming skills in C/C++ or Python, with solid understanding of data structures and algorithms
- Understanding of computer architecture, operating systems, and Linux environments
- Internship or project experience related to systems programming, networking, or ML
Preferred Qualifications
- Familiarity with version control systems (e.g., Git) and software development methodologies
- Knowledge of ML concepts or frameworks (e.g., PyTorch, TensorFlow)
- Interest in open-source development or contributions to technical communities
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
At AWS, we're pioneering the future of cloud computing and AI acceleration through innovative hardware-software co-design. Our teams within Annapurna Labs and AWS AI are creating the foundation for next-generation cloud infrastructure that powers thousands of customers worldwide, from cutting-edge startups to global enterprises.
We operate at an unprecedented scale, designing custom silicon chips, advanced networking solutions, and ML accelerators that were unimaginable just a few years ago.
Our work spans from the lowest levels of hardware abstraction to high-performance distributed training systems, creating unique opportunities for early-career engineers to make significant impact across multiple domains.
Key job responsibilities
- Develop and optimize software for custom hardware and ML infrastructure
- Collaborate with hardware teams to understand and leverage chip architecture
- Implement and improve networking, runtime, and system-level software
- Assist in building and maintaining tools for profiling, monitoring, and debugging ML workloads
- Contribute to the development of open-source ML frameworks and infrastructure projects
- Participate in code reviews and implement best practices for software development
- Learn and apply new technologies to solve complex engineering challenges
About the team
Candidates will be routed to specific teams based on their interests and our current needs during the application process:
- The Elastic Network Adapter (ENA) team revolutionizes EC2 core networking, enabling enhanced networking capabilities across AWS's most critical compute instances. Here, you'll work with networking protocols and high-performance drivers that power millions of cloud workloads.
- Our AWS Neuron SDK team develops the complete software stack for custom ML accelerators (Inferentia and Trainium), democratizing access to AI infrastructure. This team bridges the gap between popular ML frameworks and custom hardware.
- The Machine Learning Server Software team maintains and optimizes the world's most advanced ML servers, focusing on system-level software that ensures peak performance of AI workloads. While we don't work directly on ML algorithms, we build the critical infrastructure that makes ML possible at scale.
- The SoC Hardware Abstraction Layer (HAL) team works at the intersection of hardware and software, developing the crucial middleware that manages our custom silicon chips. This team ensures our innovative hardware designs translate into reliable, high-performance solutions.
Basic Qualifications
- To qualify, applicants should have earned (or expect to earn) a Bachelor's or Master's degree between December 2022 to September 2025.
- Strong programming skills in C/C++ or Python, with solid understanding of data structures and algorithms
- Understanding of computer architecture, operating systems, and Linux environments
- Internship or project experience related to systems programming, networking, or ML
Preferred Qualifications
- Familiarity with version control systems (e.g., Git) and software development methodologies
- Knowledge of ML concepts or frameworks (e.g., PyTorch, TensorFlow)
- Interest in open-source development or contributions to technical communities
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Is this job a match or a miss?
View Now
5
SDE I - Systems, Runtime, and ML Infrastructure (AWS Custom Silicon), Annapurna Labs
78703 Austin, Texas
Amazon
Posted 9 days ago
Job Viewed
Job Description
Description
At AWS, we're pioneering the future of cloud computing and AI acceleration through innovative hardware-software co-design. Our teams within Annapurna Labs and AWS AI are creating the foundation for next-generation cloud infrastructure that powers thousands of customers worldwide, from cutting-edge startups to global enterprises.
We operate at an unprecedented scale, designing custom silicon chips, advanced networking solutions, and ML accelerators that were unimaginable just a few years ago.
Our work spans from the lowest levels of hardware abstraction to high-performance distributed training systems, creating unique opportunities for early-career engineers to make significant impact across multiple domains.
Key job responsibilities
- Develop and optimize software for custom hardware and ML infrastructure
- Collaborate with hardware teams to understand and leverage chip architecture
- Implement and improve networking, runtime, and system-level software
- Assist in building and maintaining tools for profiling, monitoring, and debugging ML workloads
- Contribute to the development of open-source ML frameworks and infrastructure projects
- Participate in code reviews and implement best practices for software development
- Learn and apply new technologies to solve complex engineering challenges
About the team
Candidates will be routed to specific teams based on their interests and our current needs during the application process:
- The Elastic Network Adapter (ENA) team revolutionizes EC2 core networking, enabling enhanced networking capabilities across AWS's most critical compute instances. Here, you'll work with networking protocols and high-performance drivers that power millions of cloud workloads.
- Our AWS Neuron SDK team develops the complete software stack for custom ML accelerators (Inferentia and Trainium), democratizing access to AI infrastructure. This team bridges the gap between popular ML frameworks and custom hardware.
- The Machine Learning Server Software team maintains and optimizes the world's most advanced ML servers, focusing on system-level software that ensures peak performance of AI workloads. While we don't work directly on ML algorithms, we build the critical infrastructure that makes ML possible at scale.
- The SoC Hardware Abstraction Layer (HAL) team works at the intersection of hardware and software, developing the crucial middleware that manages our custom silicon chips. This team ensures our innovative hardware designs translate into reliable, high-performance solutions.
Basic Qualifications
- To qualify, applicants should have earned (or expect to earn) a Bachelor's or Master's degree between December 2022 to September 2025.
- Strong programming skills in C/C++ or Python, with solid understanding of data structures and algorithms
- Understanding of computer architecture, operating systems, and Linux environments
- Internship or project experience related to systems programming, networking, or ML
Preferred Qualifications
- Familiarity with version control systems (e.g., Git) and software development methodologies
- Knowledge of ML concepts or frameworks (e.g., PyTorch, TensorFlow)
- Interest in open-source development or contributions to technical communities
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
At AWS, we're pioneering the future of cloud computing and AI acceleration through innovative hardware-software co-design. Our teams within Annapurna Labs and AWS AI are creating the foundation for next-generation cloud infrastructure that powers thousands of customers worldwide, from cutting-edge startups to global enterprises.
We operate at an unprecedented scale, designing custom silicon chips, advanced networking solutions, and ML accelerators that were unimaginable just a few years ago.
Our work spans from the lowest levels of hardware abstraction to high-performance distributed training systems, creating unique opportunities for early-career engineers to make significant impact across multiple domains.
Key job responsibilities
- Develop and optimize software for custom hardware and ML infrastructure
- Collaborate with hardware teams to understand and leverage chip architecture
- Implement and improve networking, runtime, and system-level software
- Assist in building and maintaining tools for profiling, monitoring, and debugging ML workloads
- Contribute to the development of open-source ML frameworks and infrastructure projects
- Participate in code reviews and implement best practices for software development
- Learn and apply new technologies to solve complex engineering challenges
About the team
Candidates will be routed to specific teams based on their interests and our current needs during the application process:
- The Elastic Network Adapter (ENA) team revolutionizes EC2 core networking, enabling enhanced networking capabilities across AWS's most critical compute instances. Here, you'll work with networking protocols and high-performance drivers that power millions of cloud workloads.
- Our AWS Neuron SDK team develops the complete software stack for custom ML accelerators (Inferentia and Trainium), democratizing access to AI infrastructure. This team bridges the gap between popular ML frameworks and custom hardware.
- The Machine Learning Server Software team maintains and optimizes the world's most advanced ML servers, focusing on system-level software that ensures peak performance of AI workloads. While we don't work directly on ML algorithms, we build the critical infrastructure that makes ML possible at scale.
- The SoC Hardware Abstraction Layer (HAL) team works at the intersection of hardware and software, developing the crucial middleware that manages our custom silicon chips. This team ensures our innovative hardware designs translate into reliable, high-performance solutions.
Basic Qualifications
- To qualify, applicants should have earned (or expect to earn) a Bachelor's or Master's degree between December 2022 to September 2025.
- Strong programming skills in C/C++ or Python, with solid understanding of data structures and algorithms
- Understanding of computer architecture, operating systems, and Linux environments
- Internship or project experience related to systems programming, networking, or ML
Preferred Qualifications
- Familiarity with version control systems (e.g., Git) and software development methodologies
- Knowledge of ML concepts or frameworks (e.g., PyTorch, TensorFlow)
- Interest in open-source development or contributions to technical communities
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Is this job a match or a miss?
View Now
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6
Silicon Validation Engineer, Reality Labs
94086 Sunnyvale, California
Meta
Posted 2 days ago
Job Viewed
Job Description
**Summary:**
The Reality Labs team is building products that make it easier for people to connect with the ones they love most. We are a team of experts developing and shipping products at the intersection of silicon, hardware, software, and content. The Reality Labs team seeks a Silicon Validation Engineer.As a Silicon Validation Engineer, you will be part of the RL Silicon Validation team validating high performance silicon and leading the effort to ensure high-quality silicon delivery.
**Required Skills:**
Silicon Validation Engineer, Reality Labs Responsibilities:
1. Responsible for System on Chip and end-to-end system validation plan development, execution and sign-off
2. Identify and communicate technical risks related to the project to the stakeholders
3. Plan, organize, and participate in silicon bring-up and validation activities across multiple Systems on Chips
4. Understand system Hardware, Software, Firmware component as a whole and drives test execution and debug with cross functional/PnP teams
5. Collaborate with the team for lab debug, silicon bug repro, failure analysis, and failure report activities
6. Work with cross-functional teams (i.e., architecture, Intellectual Property, Firmware, Electrical Engineering, System on Chip, and product engineer teams) to generate validation reports for SoC and systems
7. Work in an agile environment, changing roadmaps and adapt to validation plans based on changes
**Minimum Qualifications:**
Minimum Qualifications:
8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
9. 6+ years of hands-on experience in bring-up, debug, and validation of complex Systems on Chips
10. 2+ years of experience in high-speed protocols (i.e., MIPI, PCIe, USB, DDR) and hands-on experience in high-speed IO bring-up
11. 2+ years of experience in silicon validation planning, execution, validation Firmware development, and validation sign-off
12. 2+ years of experience using lab equipment, such as scopes, BERTs, protocol analyzers, JTAG debuggers, etc
13. Expertise with building silicon validation infrastructure and test automation, in highly cross-functional environments - across multiple team sites
14. Experience influencing design, Design Verification and post-silicon validation teams to optimize the usage of pre-silicon prototype platforms
**Preferred Qualifications:**
Preferred Qualifications:
15. Experience with building silicon validation infrastructure and test automation
16. 2+ years of experience working in a cross functional and cross site team environment
17. Knowledge and experience in pre-silicon validation platforms (i.e., FPGA and emulation)
18. Knowledge of ASIC design flow, silicon foundry test flow, and silicon Firmware development process
**Public Compensation:**
$142,000/year to $203,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
The Reality Labs team is building products that make it easier for people to connect with the ones they love most. We are a team of experts developing and shipping products at the intersection of silicon, hardware, software, and content. The Reality Labs team seeks a Silicon Validation Engineer.As a Silicon Validation Engineer, you will be part of the RL Silicon Validation team validating high performance silicon and leading the effort to ensure high-quality silicon delivery.
**Required Skills:**
Silicon Validation Engineer, Reality Labs Responsibilities:
1. Responsible for System on Chip and end-to-end system validation plan development, execution and sign-off
2. Identify and communicate technical risks related to the project to the stakeholders
3. Plan, organize, and participate in silicon bring-up and validation activities across multiple Systems on Chips
4. Understand system Hardware, Software, Firmware component as a whole and drives test execution and debug with cross functional/PnP teams
5. Collaborate with the team for lab debug, silicon bug repro, failure analysis, and failure report activities
6. Work with cross-functional teams (i.e., architecture, Intellectual Property, Firmware, Electrical Engineering, System on Chip, and product engineer teams) to generate validation reports for SoC and systems
7. Work in an agile environment, changing roadmaps and adapt to validation plans based on changes
**Minimum Qualifications:**
Minimum Qualifications:
8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
9. 6+ years of hands-on experience in bring-up, debug, and validation of complex Systems on Chips
10. 2+ years of experience in high-speed protocols (i.e., MIPI, PCIe, USB, DDR) and hands-on experience in high-speed IO bring-up
11. 2+ years of experience in silicon validation planning, execution, validation Firmware development, and validation sign-off
12. 2+ years of experience using lab equipment, such as scopes, BERTs, protocol analyzers, JTAG debuggers, etc
13. Expertise with building silicon validation infrastructure and test automation, in highly cross-functional environments - across multiple team sites
14. Experience influencing design, Design Verification and post-silicon validation teams to optimize the usage of pre-silicon prototype platforms
**Preferred Qualifications:**
Preferred Qualifications:
15. Experience with building silicon validation infrastructure and test automation
16. 2+ years of experience working in a cross functional and cross site team environment
17. Knowledge and experience in pre-silicon validation platforms (i.e., FPGA and emulation)
18. Knowledge of ASIC design flow, silicon foundry test flow, and silicon Firmware development process
**Public Compensation:**
$142,000/year to $203,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Is this job a match or a miss?
View Now
7
Silicon Validation Engineer, Reality Labs
94010
Meta
Posted 2 days ago
Job Viewed
Job Description
**Summary:**
The Reality Labs team is building products that make it easier for people to connect with the ones they love most. We are a team of world-class experts developing and shipping products at the intersection of silicon, hardware, software, and content. The Reality Labs team seeks a Silicon Validation Engineer.As a Silicon Validation Engineer, you will be part of the RL Silicon Validation team validating high performance silicon and leading the effort to ensure high-quality silicon delivery.
**Required Skills:**
Silicon Validation Engineer, Reality Labs Responsibilities:
1. Assist in the development, execution, and sign-off of SoC and end-to-end system validation plans
2. Identify and communicate technical risks related to the project to the stakeholders under guidance
3. Participate in silicon bring-up and validation activities
4. Understand system HW/SW/FW components as a whole and assist in driving test execution and debug with cross functional/PnP teams
5. Collaborate with the team for lab debug, silicon bug repro, failure analysis, and failure report activities
6. Work with cross-functional teams (i.e., architecture, IP, FW, EE, SoC, and product engineer teams) to generate validation reports for SoC and systems
7. Adapt to changing roadmaps and validation plans based on changes in an agile environment
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
9. 2+ years of hands-on experience in bring-up, debug, and validation of complex SoCs
10. 1+ years of experience in high-speed protocols (i.e., MIPI, PCIe, USB, DDR) and hands-on experience in high-speed IO bring-up
11. 1+ years of experience in silicon validation planning, execution, validation FW development, and validation sign-off
12. 1+ years of experience using lab equipment, such as scopes, BERTs, protocol analyzers, JTAG debuggers, etc
13. Experience with building silicon validation infrastructure and test automation, in highly cross-functional environments - across multiple team sites
**Preferred Qualifications:**
Preferred Qualifications:
14. Knowledge of ASIC design flow, silicon foundry test flow, and silicon FW development process
15. Knowledge and experience in pre-silicon validation platforms (i.e., FPGA and emulation)
16. 1+ years of experience working in a cross functional and cross site team environment
17. Experience with building silicon validation infrastructure and test automation
**Public Compensation:**
$114,000/year to $166,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
The Reality Labs team is building products that make it easier for people to connect with the ones they love most. We are a team of world-class experts developing and shipping products at the intersection of silicon, hardware, software, and content. The Reality Labs team seeks a Silicon Validation Engineer.As a Silicon Validation Engineer, you will be part of the RL Silicon Validation team validating high performance silicon and leading the effort to ensure high-quality silicon delivery.
**Required Skills:**
Silicon Validation Engineer, Reality Labs Responsibilities:
1. Assist in the development, execution, and sign-off of SoC and end-to-end system validation plans
2. Identify and communicate technical risks related to the project to the stakeholders under guidance
3. Participate in silicon bring-up and validation activities
4. Understand system HW/SW/FW components as a whole and assist in driving test execution and debug with cross functional/PnP teams
5. Collaborate with the team for lab debug, silicon bug repro, failure analysis, and failure report activities
6. Work with cross-functional teams (i.e., architecture, IP, FW, EE, SoC, and product engineer teams) to generate validation reports for SoC and systems
7. Adapt to changing roadmaps and validation plans based on changes in an agile environment
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
9. 2+ years of hands-on experience in bring-up, debug, and validation of complex SoCs
10. 1+ years of experience in high-speed protocols (i.e., MIPI, PCIe, USB, DDR) and hands-on experience in high-speed IO bring-up
11. 1+ years of experience in silicon validation planning, execution, validation FW development, and validation sign-off
12. 1+ years of experience using lab equipment, such as scopes, BERTs, protocol analyzers, JTAG debuggers, etc
13. Experience with building silicon validation infrastructure and test automation, in highly cross-functional environments - across multiple team sites
**Preferred Qualifications:**
Preferred Qualifications:
14. Knowledge of ASIC design flow, silicon foundry test flow, and silicon FW development process
15. Knowledge and experience in pre-silicon validation platforms (i.e., FPGA and emulation)
16. 1+ years of experience working in a cross functional and cross site team environment
17. Experience with building silicon validation infrastructure and test automation
**Public Compensation:**
$114,000/year to $166,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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8
Silicon Validation Engineer, Reality Labs
94086 Sunnyvale, California
Meta
Posted 2 days ago
Job Viewed
Job Description
**Summary:**
The Reality Labs team is building products that make it easier for people to connect with the ones they love most. We are a team of world-class experts developing and shipping products at the intersection of silicon, hardware, software, and content. The Reality Labs team seeks a Silicon Validation Engineer.As a Silicon Validation Engineer, you will be part of the RL Silicon Validation team validating high performance silicon and leading the effort to ensure high-quality silicon delivery.
**Required Skills:**
Silicon Validation Engineer, Reality Labs Responsibilities:
1. Assist in the development, execution, and sign-off of SoC and end-to-end system validation plans
2. Identify and communicate technical risks related to the project to the stakeholders under guidance
3. Participate in silicon bring-up and validation activities
4. Understand system HW/SW/FW components as a whole and assist in driving test execution and debug with cross functional/PnP teams
5. Collaborate with the team for lab debug, silicon bug repro, failure analysis, and failure report activities
6. Work with cross-functional teams (i.e., architecture, IP, FW, EE, SoC, and product engineer teams) to generate validation reports for SoC and systems
7. Adapt to changing roadmaps and validation plans based on changes in an agile environment
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
9. 2+ years of hands-on experience in bring-up, debug, and validation of complex SoCs
10. 1+ years of experience in high-speed protocols (i.e., MIPI, PCIe, USB, DDR) and hands-on experience in high-speed IO bring-up
11. 1+ years of experience in silicon validation planning, execution, validation FW development, and validation sign-off
12. 1+ years of experience using lab equipment, such as scopes, BERTs, protocol analyzers, JTAG debuggers, etc
13. Experience with building silicon validation infrastructure and test automation, in highly cross-functional environments - across multiple team sites
**Preferred Qualifications:**
Preferred Qualifications:
14. Knowledge of ASIC design flow, silicon foundry test flow, and silicon FW development process
15. Knowledge and experience in pre-silicon validation platforms (i.e., FPGA and emulation)
16. 1+ years of experience working in a cross functional and cross site team environment
17. Experience with building silicon validation infrastructure and test automation
**Public Compensation:**
$114,000/year to $166,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
The Reality Labs team is building products that make it easier for people to connect with the ones they love most. We are a team of world-class experts developing and shipping products at the intersection of silicon, hardware, software, and content. The Reality Labs team seeks a Silicon Validation Engineer.As a Silicon Validation Engineer, you will be part of the RL Silicon Validation team validating high performance silicon and leading the effort to ensure high-quality silicon delivery.
**Required Skills:**
Silicon Validation Engineer, Reality Labs Responsibilities:
1. Assist in the development, execution, and sign-off of SoC and end-to-end system validation plans
2. Identify and communicate technical risks related to the project to the stakeholders under guidance
3. Participate in silicon bring-up and validation activities
4. Understand system HW/SW/FW components as a whole and assist in driving test execution and debug with cross functional/PnP teams
5. Collaborate with the team for lab debug, silicon bug repro, failure analysis, and failure report activities
6. Work with cross-functional teams (i.e., architecture, IP, FW, EE, SoC, and product engineer teams) to generate validation reports for SoC and systems
7. Adapt to changing roadmaps and validation plans based on changes in an agile environment
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
9. 2+ years of hands-on experience in bring-up, debug, and validation of complex SoCs
10. 1+ years of experience in high-speed protocols (i.e., MIPI, PCIe, USB, DDR) and hands-on experience in high-speed IO bring-up
11. 1+ years of experience in silicon validation planning, execution, validation FW development, and validation sign-off
12. 1+ years of experience using lab equipment, such as scopes, BERTs, protocol analyzers, JTAG debuggers, etc
13. Experience with building silicon validation infrastructure and test automation, in highly cross-functional environments - across multiple team sites
**Preferred Qualifications:**
Preferred Qualifications:
14. Knowledge of ASIC design flow, silicon foundry test flow, and silicon FW development process
15. Knowledge and experience in pre-silicon validation platforms (i.e., FPGA and emulation)
16. 1+ years of experience working in a cross functional and cross site team environment
17. Experience with building silicon validation infrastructure and test automation
**Public Compensation:**
$114,000/year to $166,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Is this job a match or a miss?
View Now
9