4,389 Compute jobs in the United States
Senior Software Engineering Manager, Compute Systems Software
Posted 2 days ago
Job Viewed
Job Description
**_Hybrid:_** **_This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View, CA, three times per week, at minimum._**
**The Role**
The **Vehicle Experiences Engine (VEE)** at GM is transforming how millions of people interact with their vehicles by building the software engines behind next-generation digital experiences. At the heart of this transformation is the **Compute Systems Software team** - the group that delivers the foundational platform software for GM's infotainment compute systems. Our work spans the Linux kernel, board support packages (BSP), and device drivers that power Android Automotive OS, multimedia, connectivity, and core system services.
What You'll Do
As **Senior Software Engineering Manager, Compute Systems Software** , you'll lead the team that makes this possible. You'll shape the technical strategy, guide a talented group of senior engineers, and partner with silicon vendors and cross-functional teams to deliver platform capabilities that ship in production vehicles worldwide.
This is a highly visible leadership role where your impact goes far beyond software delivery. The platforms your team builds will touch **millions of drivers and passengers** , define the performance and reliability of GM's vehicles, and set the foundation for the **next generation of automotive compute on cutting-edge SoCs** . If you're excited by the challenge of building world-class embedded platforms at global scale - this is the opportunity to make your mark.
**Y** **our Skills & Abilities (Required Qualifications)**
+ Lead and grow a high-performing engineering team, developing talent and fostering a culture of innovation, excellence, and continuous improvement.
+ Own the roadmap and delivery of compute system software, including the Linux kernel, board support packages (BSP), and device drivers for GM's infotainment platforms.
+ Define technical strategy for performance, reliability, maintainability, and software update readiness.
+ Ensure program execution by tracking progress against vehicle milestones, managing risks, and partnering closely with program management.
+ Collaborate across teams - Android Automotive OS, multimedia, connectivity, and hardware - to deliver seamless integration.
+ Build strong vendor partnerships, especially with Qualcomm, and engage with the open-source community to support long-term platform success.
+ Bachelor's degree in Computer Science, Electrical/Computer Engineering, or related field; or equivalent experience.
+ **15+ years of professional experience** building embedded or edge software platforms.
+ **5+ years of engineering leadership experience** , including leading senior engineers and/or managers.
+ Demonstrated success delivering production-grade software on modern SoC-based or embedded systems.
+ Proven ability to drive large-scale software programs to completion, including milestone planning, risk management, and cross-team coordination.
+ Strong technical credibility in embedded Linux, paired with the ability to set vision, influence architecture, and drive execution at scale.
+ Proficiency with modern engineering practices: Git/GitHub, CI/CD, automated testing, and release processes.
**What Will Give You** **A** **Competitive Edge (Preferred Qualifications)**
+ Master's degree in a relevant field.
+ Deep knowledge of Linux kernel internals and frameworks
+ Experience with **Yocto Linux** and deploying commercial embedded Linux systems.
+ Familiarity with Android Automotive OS integrations, HALs, and multimedia pipelines.
+ Hands-on experience with **Qualcomm SoCs** and collaboration with silicon vendors.
+ Experience contributing to or upstreaming with the Linux kernel community.
+ Ability to develop, inspire, and motivate teams.
+ Strong cross-functional leadership and communication skills.
+ Evidence of integrity, accountability, and initiative.
+ Willingness to provide strategic perspective and champion change.
_Compensation_ : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
+ The salary range for this role is 250,000 - 383,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
_Benefits:_
+ Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Software Engineering Manager II, Infrastructure, Google Cloud Compute
Posted 2 days ago
Job Viewed
Job Description
_corporate_fare_ Google _place_ Kirkland, WA, USA; Seattle, WA, USA
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Kirkland, WA, USA; Seattle, WA, USA** .
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
+ 3 years of experience building and developing large-scale infrastructure or distributed systems.
+ 3 years of experience in a technical leadership role.
+ 2 years of experience in a people management or team leadership role.
**Preferred qualifications:**
+ Master's degree or PhD in Engineering, Computer Science, or a related technical field.
+ 3 years of experience working in a complex, matrixed organization.
**About the job**
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The AI and Infrastructure team works on the world's toughest problems, redefining what's possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We're at the center of amazing work at Google by being the "flywheel" that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.
In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
+ Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
+ Develop the mid-term technical vision and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
+ Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
+ Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Software Engineering Manager II, Infrastructure, Google Cloud Compute
Posted 2 days ago
Job Viewed
Job Description
_corporate_fare_ Google _place_ Kirkland, WA, USA; Seattle, WA, USA
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Kirkland, WA, USA; Seattle, WA, USA** .
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
+ 3 years of experience building and developing large-scale infrastructure or distributed systems.
+ 3 years of experience in a technical leadership role.
+ 2 years of experience in a people management or team leadership role.
**Preferred qualifications:**
+ Master's degree or PhD in Engineering, Computer Science, or a related technical field.
+ 3 years of experience working in a complex, matrixed organization.
**About the job**
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The AI and Infrastructure team works on the world's toughest problems, redefining what's possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We're at the center of amazing work at Google by being the "flywheel" that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.
In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
+ Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
+ Develop the mid-term technical vision and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
+ Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
+ Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Capacity Engineer, Compute
Posted 4 days ago
Job Viewed
Job Description
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The mission of the Compute team is to provide input into our company-wide cloud infrastructure strategy and efficiency deliverables, advise on key decisions affecting budget, and provide capacity planning and performance expertise to various anthropic-wide stakeholders in finance and engineering leadership. As an early member of this team, you would be required to work with engineering teams to ensure optimal operation and growth of our infrastructure from both a cost and technology perspective and collaborate cross-functionally with finance and data science partners to analyze and forecast growth.
Responsibilities:
- Develop self-service tools and processes to enable anthropic engineers to understand their capacity, efficiency, and costs
- Design, develop, and lead necessary automation to help capacity plan for both near and long term outcomes
- Institute and design governance workflows to help manage additional capacity request approvals
- Investigate new capacity requests to ensure the best use of resources and that instances are sized appropriately
- Build and drive cost to serve analytics programs to guide engineering, finance, and leadership on the total cost (TCO) and infrastructure impact of our scaling factors. Inform pricing conversations through customer profile sensitive gross margin analysis.
- Tech lead with outside vendors to manage anthropic capacity needs
- Proactively identify infrastructure inefficiency opportunities, document proposal and be a key contributor in driving a positive outcome
- Serve as an advisor to engineering and finance functions and executive team for one of the largest areas of expenditure
- Work closely with TPMs on special efficiency projects and help deliver committed outcomes
- 5+ years experience in capacity engineering
- 5+ years experience in a technical role
- Intermediate knowledge of various public cloud providers
- Experience with data modeling for public cloud
- Experience with budgeting, capacity planning experience, and cloud efficiency optimization workflows
- Experience in scripting and building automation tools
- Self-disciplined and thrives in fast paced environments
- Excellent communication skills
- Familiarity with cloud compute, storage, network, and services
- Attention to detail and a passion for correctness
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.
Annual Salary:
$320,000-$405,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
High Compute Engineer
Posted 2 days ago
Job Viewed
Job Description
At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Employees enjoy career enrichment opportunities available through mobility and development and experience rewarding relationships with supportive supervisors and talented colleagues and customers. Your most important work is ahead.
**If this sounds like the kind of environment where you can thrive, keep reading!**
We are seeking a forward-leaning High Compute Engineer to lead the design, optimization, and integration of GPU-centric high-performance compute environments. The ideal candidate will be responsible for managing existing NVIDIA A100 and DGX-1 systems while designing scalable architectures to incorporate emerging GPU hardware as mission demands evolve.
This role is critical to our advanced compute initiatives, where performance, stability, and future-readiness drive every architectural decision. You'll work cross-functionally with data scientists, AI/ML developers, cybersecurity experts, and infrastructure teams to create a robust, secure, and performant GPU compute ecosystem.
This is a 100% on-site position. All work must be performed at the customer site in Bethesda at the Intelligence Community Campus.
Responsibilities:
+ Manage, optimize, and monitor existing high-performance GPU systems including NVIDIA A100s and DGX-1 platforms.
+ Architect integration plans for scaling GPU compute infrastructure, including newer platforms (e.g., H100, Grace Hopper, AMD Instinct).
+ Collaborate with data science teams to fine-tune GPU workloads for AI/ML pipelines.
+ Design and implement high-speed networking (InfiniBand/RDMA) and storage solutions optimized for GPU data flow.
+ Develop automation workflows using infrastructure-as-code (IaC) tools (e.g., Ansible, Terraform, SaltStack).
+ Ensure system security, compliance, and patch management in alignment with NIST, RMF, or agency-specific controls.
+ Analyze compute performance metrics and provide strategic recommendations for system enhancements.
+ Maintain documentation on system architectures, configurations, and operational procedures.
**You Bring**
+ Bachelor's or higher degree in Computer Engineering, Computer Science, or a related field with at least 12 years of related technical experience. Additional years of experience may be considered in lieu of a degree.
+ 5+ years experience supporting GPU compute environments in mission-critical or enterprise settings.
+ Proficiency with NVIDIA technologies: A100, DGX-1, CUDA, cuDNN, NCCL.
+ Strong background in Linux (RHEL/CentOS/Ubuntu), kernel tuning, and HPC stack deployment.
+ Experience with containerized GPU workloads using Docker, Kubernetes, and NVIDIA GPU Operator.
+ Familiarity with distributed compute frameworks (e.g., SLURM, Kubernetes, Ray).
+ Strong scripting skills: Bash, Python, or similar.
+ Proven ability to plan and execute large-scale system upgrades and migrations.
+ Candidate must, at a minimum, meet DoD - IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP).
**Clearance**
+ Active TS/SCI clearance with Polygraph required OR active TS/SCI and willingness to obtain and maintain a Poly.
+ US Citizenship is required due to the nature of the government contracts we support.
**Preferred Qualifications**
+ Experience with hybrid cloud GPU environments (AWS, GCP, or Azure with NVIDIA support).
+ Familiarity with AI/ML tooling such as PyTorch, TensorFlow, ONNX, and RAPIDS.
+ Experience integrating GPUs with storage systems (e.g., Lustre, BeeGFS, Ceph).
+ Exposure to hardware acceleration platforms (e.g., FPGA, custom ASIC).
**Why Join Us**
+ Shape the future of high-performance computing within a cutting-edge technical team.
+ Influence procurement and system design decisions for future GPU investments.
+ Work alongside industry leaders in machine learning, cyber operations, and advanced analytics.
+ Access to premier NVIDIA hardware in real production environments.
#NMECDTP-Leidos
Come break things (in a good way). Then build them smarter.
We're the tech company everyone calls when things get weird. We don't wear capes (they're a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for "how it's always been done."
**Original Posting:**
September 10, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
**Pay Range:**
Pay Range $126,100.00 - $227,950.00
The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
REQNUMBER: R-
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.
Software Engineer - Compute Market
Posted today
Job Viewed
Job Description
Compute is a commodity. We think people should buy it like one.
Startups shouldn't be forced to buy a year's worth of compute time in order to get market rate and compute providers shouldn't go bankrupt because they can't fully book their clusters.
At SF Compute, our goal is to solve this issue the same way this was solved for every other commodity - by building a venue where compute contracts are traded in real-time and by bringing a new kind of participant into the supply chain, traders.
If we succeed, buyers will be able to get a good price for any order, whether it's 32 H100s for a month or 8,000 H100s for an hour, and sellers will instantly book out their clusters because traders will speculatively buy them, for a spread. Every FLOP will flow through us somewhere in the supply chain. What Brent is for oil, we will be for compute.
About the Role
As an engineer working on our compute market, you'll build software that buys, sells, and prices cutting-edge HPC hardware worth billions of dollars. You'll be a critical part of the company, working closely together with a small team of extremely competent engineers on systems that move tens of millions of GPU-hours per day.
Projects you might work on include.
- Optimizing our surplus-maximizing shape-packing solver
- Creating automated strategies for compute providers to sell their clusters
- Scaling our quoting APIs to thousands of orders per second
- Inventing mechanisms for auctions for a new asset class with unique constraints
- Designing a futures contract that allows the market to hedge risk on DC buildouts
- You're a talented, high-agency engineer who likes to ship fast
- You have experience building fault-tolerant systems where correctness is critical
- You appreciate the value of extensive testing and good documentation
- You're excited by the rare chance to financialize a new commodity
- Are comfortable working in Rust
- Have previously worked at or founded a startup
- Have built systems that manage other people's money
- Have some background in finance, trading, bespoke marketplaces, or combinatorial optimization
Generous equity grant
Team members are offered a competitive salary along with equity in the company
Visa Sponsorships
Yes, we sponsor visas and work permits
Retirement matching
We match 401(k) plans up to 4%
Medical, dental & vision
We offer competitive medical, dental, vision insurance for employees and dependents and cover 100% of premiums
Time off
We offer unlimited paid time off as well as 10+ observed holidays
Parental leave
We offer biological, adoptive, and foster parents paid time off to spend quality time with family
Daily lunch
We cover lunch daily for employees
Unlimited office book budget
You can buy as many books for the office as you want
The San Francisco Compute Company is committed to maintaining a workplace free from discrimination and harassment.
We make employment decisions based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, belief, national origin, social or ethical origin, age, physical, mental, or sensory disability, sexual orientation, gender identity or expression, marital status, civil union or domestic partnership status, past or present military service, HIV status, family medical history or genetic information, family or parental status including pregnancy, or any other status protected by law.
We welcome the opportunity to consider qualified applicants with prior arrest or conviction records. Our commitment to diversity includes hiring talented individuals regardless of their criminal history, in accordance with local, state, and federal laws, including San Francisco's Fair Chance Ordinance and California's ban-the-box laws.
If you require reasonable accommodation for any reason, please reach out to us at
Software Engineer, Compute - Storage
Posted 4 days ago
Job Viewed
Job Description
About the Team
Storage Infrastructure provides APIs for data access, placement, and lifecycle management, while ensuring that the storage systems' capacity, throughput, and IOPs satisfy the needs of our AI researchers. Scalability, reliability, security, and usability are the core concerns of the team.
About the Role
As an engineer on the Storage Infrastructure team, you will design, build, and operate Exascale systems to scalably and reliably manage our research data across multiple regions.
We're looking for distributed systems engineers who have worked on exascale data management systems or distributed filesystems.
In this role, you will:
Develop software to manage exascale data, and make it accessible to researchers
Drive the reliability, predictability, and cost effectiveness of our storage systems
Interface with researchers to understand and accommodate data use-cases
Ensure the security of our critical datasets
You might thrive in this role if you:
Have a deep understanding of distributed systems principles and a proven track record in designing and building scalable, reliable, and secure storage solutions.
Possess strong programming skills
Have experience working in public clouds (especially Azure)
Are familiar with AI/ML data access patterns
Bias for action and comfort building in a fast paced, dynamic environment
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation Range: $380K - $460K
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Compute Infrastructure Strategy Lead
Posted 4 days ago
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Job Description
About the Team
The Industrial Compute team builds and operates the infrastructure behind OpenAI's research and products. We design for scale, performance, and adaptability-bridging physical and logical layers so frontier workloads run efficiently across a global footprint.
In recent months, this team enabled large scale compute systems, built foundational network infrastructure, partnered with engineering to unlock major compute expansions, and worked with compute, inference, and storage systems engineering to materially lower serving cost while improving performance.
Our mandate spans power, compute, network, manufacturing and assembly, operations, scheduling and orchestration, and the broader ecosystem to enable OpenAI's next generation of systems.
About the Role
Your charter: deliver step-function improvements in cost, capability, capacity, reliability, and time-to-ready across OpenAI's infrastructure and compute platform. You'll take on high-leverage initiatives spanning compute, storage, networking, and systems-cut through complexity quickly, pinpoint leverage points, make clear calls, and drive the changes needed to unlock scale. You'll work fluidly across teams-engineering, capacity planning, research, infra, product, finance, and business development-to align the technical, operational, and commercial pieces needed to make these bets real.
Some workstreams will be strategic and industry-shifting; others will be tactical so we can ship systems sooner than otherwise possible. Near-term focus may include optimizing storage direction and rollout, improving accelerator utilization, advancing interconnect approaches to lower latency and cost, and accelerating site readiness.
This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.
In this role you will:
Own cross-stack programs end-to-end: define the problem, design the approach, prove it quickly, and carry the result into production.
Drive rapid clarity on goals, criteria, risks, metrics for complex technical problems without adding heavy process.
Work closely with engineering, operations, and (when needed) finance, research, product, and external vendors to align decisions and deliver useful infrastructure at massive scale.
Own outcomes end-to-end, and move fast to validate approaches-using bounded pilots when useful-while balancing total cost, performance, and operability.
Collaborate with engineering to incubate and execute on the technical decisions that unlock scale.
You might thrive in this role if you:
Have deep technical experience (infrastructure / systems engineering, TPM, or product) and move comfortably between system detail and program execution.
Have led ambiguous, cross-functional infrastructure work to tangible outcomes without waiting for perfect information.
Communicate clearly, align partners, and make sound calls on cost, performance, and operability.
Prefer measured proofs and execution over slideware and enjoy switching between strategy and hands-on work to fully own projects end-end.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation Range: $393K
Cloud Compute Engineer - Shelton
Posted 4 days ago
Job Viewed
Job Description
At Richemont Americas, we aspire to reflect the ever-changing world around us. We are proud to employ talent from many different backgrounds, experiences, and identities to build a continually evolving, inclusive community where the diversity of our colleagues and clients is rich and celebrated. We believe when inclusion is fully embraced and empowered, creativity and knowledge emerge to deliver excellence, advancing the community that is uniquely Richemont Americas.
Cloud Compute Engineer
Technology | Shelton, CT
Reports to: Cloud Compute Team Leader
Role Overview
The Compute Engineer plays a key role in ensuring the stability, scalability, and evolution of Richemont's global compute platforms. The role spans Windows and Linux systems administration, multi-cloud operations (Alibaba, AWS, GCP), Kubernetes support, and automation with DevOps practices , contributing to both run (support) and build (projects) activities. The Compute Engineer will work within an Agile framework using Jira , and handle ServiceNow tickets to manage daily operations, incidents, and changes.
Responsibilities
- Systems Administration & Support
- Administer, maintain, and troubleshoot Windows and Linux servers across cloud and on-premises environments.
- Manage daily operations, incidents, service requests, and changes through ServiceNow .
- Ensure compliance with patching, upgrades, and security requirements.
- Cloud Platforms & Virtualization
- Support Compute workloads in AWS Cloud, Alibaba Cloud, and GCP .
- Manage servers in AWS and Alibaba Cloud.
- Contribute to cost optimization and lifecycle management initiatives.
- Kubernetes & Containers
- Operate and support Kubernetes clusters in AWS Cloud, Alibaba Cloud, and GCP .
- Collaborate with DevOps teams on containerized applications and automation.
- Work with Istio service mesh to support service-to-service communication with Kubernetes.
- Automation & Configuration Management
- Develop and maintain automation with Ansible, and scripting (PowerShell, Python, Bash) .
- Leverage cloud-native configuration management services (e.g., AWS Systems Manager ) to automate the patching of Linux and Windows instances.
- Transformation & Migration Projects
- Support Linux EOL migrations and Red Hat to open-source distribution decommissioning projects.
- Contribute to cloud adoption and infrastructure transformation initiatives.
- Deliver projects and tasks using Agile methodology (Jira) for sprint planning, backlog management, and collaboration.
- Education & Certifications
- Bachelor's degree in computer science, Engineering, or related field (preferred).
- Relevant certifications in cloud (AWS, GCP), Kubernetes, Linux or Windows.
- Experience
- 5+ years of experience in systems engineering or infrastructure operations .
- Hands-on experience with Windows Server and Linux administration .
- Practical experience in multi-cloud environments (AWS, GCP).
- Experience with Kubernetes operations and exposure to Istio (preferred).
- Strong background in automation (Ansible) and scripting (Python, PowerShell, Bash).
- Familiarity with Agile methodology (Jira)
- Technical Skills
- Deep knowledge of System administration (Linux and Windows )
- Understanding of DevOps fundamentals : CI/CD, IaC with Terraform , Git, and automation practices.
- Professional & Behavioral Competencies
- Strong analytical and problem-solving mindset.
- Ability to collaborate within a global, cross-functional team.
- Effective communication skills, both written and verbal.
- Other Requirements
- English proficiency required.
- Occasional travel may be required.
Richemont offers a generous compensation and benefits package for eligible employees. Only candidates selected for further consideration will be contacted.
We Offer - United States
Employee wellbeing is a top priority at Richemont. We offer a comprehensive benefits program to support employees and their loved ones. Our core benefits include medical, dental, and vision programs. Health savings and flexible spending accounts are also available. The company offers income protection solutions including life insurance, disability benefits, and 401(k) with employer match. Understanding the importance of work-life balance, our total rewards include paid time off, a wellness reimbursement benefit, and access to the employee assistance program. Employees are encouraged to make a difference in their local communities with volunteer days off, supporting initiatives that drive change.
At Richemont, We Craft the Future!
Salary will be determined based on relevant skills and experience.
#Richemont #WeCraftTheFuture
Founding Engineer, Cloud Compute
Posted 10 days ago
Job Viewed
Job Description
We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible.
We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media.
We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one.
If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk.
We’re looking for a Founding Engineer with deep backend and infrastructure experience to build the foundation of our cloud compute platform. You’ll be responsible for architecting and scaling the systems that power real-time generative workloads for next-gen applications.
What You’ll Do
- Build and maintain our core Python platform, which includes:
- Request routing, AI workload orchestration, GPU resource management.
- Observability, authentication, rate limiting, and more.
- Develop and maintain infrastructure using Terraform, Ansible, and cloud/bare metal provider APIs.
- Own critical systems and tooling: Kubernetes, FluxCD, Nomad, Prometheus, Thanos, Grafana, Loki, distributed storage, and networking.
- Set the vision and roadmap for our infrastructure stack for the next 1/2/5 years
Requirements
About You- 5+ years of experience in cloud computing, infrastructure engineering, or DevOps roles.
- Proficiency in cloud platforms (AWS, GCP, Azure) and their associated services (compute, storage, networking).
- Experience with container orchestration systems like Kubernetes, Docker, and serverless architectures.
- Strong knowledge of cloud security best practices and data management strategies.
- Demonstrated ability to optimize cloud resource usage effectively while balancing performance and cost.
- Startup mindset: you thrive in fast-paced environments and take ownership of projects from concept to execution.
- Expertise in cloud platforms and services.
- Experience with infrastructure as code tools (Terraform, CloudFormation).
- Familiarity with CI/CD pipelines and automation of deployment processes.
- Strong troubleshooting skills and ability to implement monitoring and alerting solutions.
Benefits
- Competitive SF salary and foundational team equity