722 Cloud Service jobs in the United States

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

Job Title: Cloud Services Delivery Lead

Job Summary

We are seeking a seasoned and strategic Cloud Services Delivery Lead to manage and deliver comprehensive cloud-based services including Cloud Administration, Site Reliability Engineering, Database and Middleware Administration, and Batch Job Support. This role involves leading a team of technical consultants, driving operational excellence, and ensuring alignment with business and technology goals.

Key Responsibilities

Service Delivery & Technical Leadership

* Oversee delivery of:
* Cloud Administration and Support Services
* Site Reliability Engineering (SRE) Services
* Database Administration and Support Services
* Middleware Systems Administration and Support Services
* Batch Job Administration and Support Services
* Provide architecture oversight and quality assurance across programs.
* Translate client business and technical needs into scalable cloud solutions.
* Perform due diligence on proposed designs and recommend improvements.
* Interface with global technology teams to promote standardization and best practices.

Team Management & Development

* Lead and manage a team of 50+ cloud consultants.
* Set goals, expectations, and ensure alignment with corporate metrics.
* Provide mentorship, guidance, and career development.
* Drive hiring, feedback loops, and performance management processes.

Client Engagement & Strategic Planning

* Engage with client stakeholders across technology, application, security, and business domains.
* Own and manage delivery plans, potentially acting as Delivery Manager.
* Conduct impact analysis of major changes to client systems.
* Maintain strong relationships with client architecture teams.
* Communicate effectively at C-level, including presentations and written reports.

Tools & Technologies

Cloud Platforms

* Azure, AWS, GCP, Oracle Cloud

DevOps & Automation

* Azure DevOps, Jenkins, Puppet, Terraform, ARM Templates, PowerShell, Shell Scripting

Containerization & Orchestration

* Docker, Kubernetes, OpenShift

Monitoring & Reporting

* Dynatrace, Splunk, Power BI

Version Control & Ticketing

* Git, GitHub, ServiceNow

Operating Systems

* Linux (RHEL, SUSE, all flavors), Windows Server

Mandatory & Desired Skills

* Proven experience leading large technical teams (50+ consultants).
* Strong expertise in at least 3 domains: cloud platforms, security, infrastructure, tech/business strategy.
* 10+ years in cloud architecture; 2+ years in leadership roles.
* Demonstrated ability to design and deliver complex cloud solutions.
* Experience in large-scale cloud transformation initiatives.
* Strong interpersonal, communication, and leadership skills.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible work

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief

Salary Transparency

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $ - $ /yearly.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please get in touch with your recruiting contact.

Click the following link for more information on your rights as an Applicant is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Job DescriptionJob Description

We are looking for someone that is generalist at heart, one who is curious, appreciates complexity, knows or wants to learn when to step back and when to dive deep. We call this role a Cloud Service Reliability Engineer.

The Cloud Service Reliability Engineer will be responsible for effective design, execution, and maintenance of systems implemented on premise or in the cloud, primarily focused on and access management, cloud computing services/integrations, and data analytics technologies.

Responsibilities of the Cloud Service Reliability Engineer:

• Establishes technology product specifications and collaborates with various functions to ensure successful product development and implementation.
• Deploys, supports and monitors new and existing services, platforms, and application stacks.
• Drives improvements to processes and design enhancements for automation to continuously improve the production environment.
• The Cloud Service Reliability Engineer will be responsible for effective design, execution, and maintenance of systems implemented on premise or in the cloud, primarily focused on and access management, cloud computing services/integrations, and data analytics technologies
• Establishes technology product specifications and collaborates with various functions to ensure successful product development and implementation
• Deploys, supports and monitors new and existing services, platforms, and application stacks
• Drives improvements to processes and design enhancements for automation to continuously improve the production environment

Skills and Experience

• Minimum of 5 years of experience in automating infrastructure, service delivery, and engineering site reliability, maintaining infrastructure on premise and in cloud environment
• Product does not really matter (any of Puppet, Chef, Fabric, Ansible, Salt is fine)
• Proven experience with cloud Platforms (Azure, AWS, GCP), PaaS, SaaS experience
• DevOps Tools (GitHub, GitHub Actions, Jenkins, Jira and other CI/CD Tools)
• Configuration Management and infrastructure as a Code(Terraform, Ansible) experience
• Expertise in Active Directory Domain Services, Active Directory Federation Services (ADFS), and Active Directory Certificate Services

Job DescriptionJob Description

We are looking for someone that is generalist at heart, one who is curious, appreciates complexity, knows or wants to learn when to step back and when to dive deep. We call this role a Cloud Service Reliability Engineer.

The Cloud Service Reliability Engineer will be responsible for effective design, execution, and maintenance of systems implemented on premise or in the cloud, primarily focused on and access management, cloud computing services/integrations, and data analytics technologies.

Responsibilities of the Cloud Service Reliability Engineer:

• Establishes technology product specifications and collaborates with various functions to ensure successful product development and implementation.
• Deploys, supports and monitors new and existing services, platforms, and application stacks.
• Drives improvements to processes and design enhancements for automation to continuously improve the production environment.
• The Cloud Service Reliability Engineer will be responsible for effective design, execution, and maintenance of systems implemented on premise or in the cloud, primarily focused on and access management, cloud computing services/integrations, and data analytics technologies
• Establishes technology product specifications and collaborates with various functions to ensure successful product development and implementation
• Deploys, supports and monitors new and existing services, platforms, and application stacks
• Drives improvements to processes and design enhancements for automation to continuously improve the production environment

Skills and Experience

• Minimum of 5 years of experience in automating infrastructure, service delivery, and engineering site reliability, maintaining infrastructure on premise and in cloud environment
• Product does not really matter (any of Puppet, Chef, Fabric, Ansible, Salt is fine)
• Proven experience with cloud Platforms (Azure, AWS, GCP), PaaS, SaaS experience
• DevOps Tools (GitHub, GitHub Actions, Jenkins, Jira and other CI/CD Tools)
• Configuration Management and infrastructure as a Code(Terraform, Ansible) experience
• Expertise in Active Directory Domain Services, Active Directory Federation Services (ADFS), and Active Directory Certificate Services

Job DescriptionJob Description

We are looking for someone that is generalist at heart, one who is curious, appreciates complexity, knows or wants to learn when to step back and when to dive deep. We call this role a Cloud Service Reliability Engineer.

The Cloud Service Reliability Engineer will be responsible for effective design, execution, and maintenance of systems implemented on premise or in the cloud, primarily focused on and access management, cloud computing services/integrations, and data analytics technologies.

Responsibilities of the Cloud Service Reliability Engineer:

• Establishes technology product specifications and collaborates with various functions to ensure successful product development and implementation.
• Deploys, supports and monitors new and existing services, platforms, and application stacks.
• Drives improvements to processes and design enhancements for automation to continuously improve the production environment.
• The Cloud Service Reliability Engineer will be responsible for effective design, execution, and maintenance of systems implemented on premise or in the cloud, primarily focused on and access management, cloud computing services/integrations, and data analytics technologies
• Establishes technology product specifications and collaborates with various functions to ensure successful product development and implementation
• Deploys, supports and monitors new and existing services, platforms, and application stacks
• Drives improvements to processes and design enhancements for automation to continuously improve the production environment

Skills and Experience

• Minimum of 5 years of experience in automating infrastructure, service delivery, and engineering site reliability, maintaining infrastructure on premise and in cloud environment
• Product does not really matter (any of Puppet, Chef, Fabric, Ansible, Salt is fine)
• Proven experience with cloud Platforms (Azure, AWS, GCP), PaaS, SaaS experience
• DevOps Tools (GitHub, GitHub Actions, Jenkins, Jira and other CI/CD Tools)
• Configuration Management and infrastructure as a Code(Terraform, Ansible) experience
• Expertise in Active Directory Domain Services, Active Directory Federation Services (ADFS), and Active Directory Certificate Services

Cloud Service Deliver Lead
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
**Job Description**
**Job Title: Cloud Services Delivery Lead**
**Job Summary**
We are seeking a seasoned and strategic Cloud Services Delivery Lead to manage and deliver comprehensive cloud-based services including Cloud Administration, Site Reliability Engineering, Database and Middleware Administration, and Batch Job Support. This role involves leading a team of technical consultants, driving operational excellence, and ensuring alignment with business and technology goals.
**Key Responsibilities**
**Service Delivery & Technical Leadership**
+ Oversee delivery of:
+ Cloud Administration and Support Services
+ Site Reliability Engineering (SRE) Services
+ Database Administration and Support Services
+ Middleware Systems Administration and Support Services
+ Batch Job Administration and Support Services
+ Provide architecture oversight and quality assurance across programs.
+ Translate client business and technical needs into scalable cloud solutions.
+ Perform due diligence on proposed designs and recommend improvements.
+ Interface with global technology teams to promote standardization and best practices.
**Team Management & Development**
+ Lead and manage a team of 50+ cloud consultants.
+ Set goals, expectations, and ensure alignment with corporate metrics.
+ Provide mentorship, guidance, and career development.
+ Drive hiring, feedback loops, and performance management processes.
**Client Engagement & Strategic Planning**
+ Engage with client stakeholders across technology, application, security, and business domains.
+ Own and manage delivery plans, potentially acting as Delivery Manager.
+ Conduct impact analysis of major changes to client systems.
+ Maintain strong relationships with client architecture teams.
+ Communicate effectively at C-level, including presentations and written reports.
**Tools & Technologies**
**Cloud Platforms**
+ Azure, AWS, GCP, Oracle Cloud
**DevOps & Automation**
+ Azure DevOps, Jenkins, Puppet, Terraform, ARM Templates, PowerShell, Shell Scripting
**Containerization & Orchestration**
+ Docker, Kubernetes, OpenShift
**Monitoring & Reporting**
+ Dynatrace, Splunk, Power BI
**Version Control & Ticketing**
+ Git, GitHub, ServiceNow
**Operating Systems**
+ Linux (RHEL, SUSE, all flavors), Windows Server
**Mandatory & Desired Skills**
+ Proven experience leading large technical teams (50+ consultants).
+ Strong expertise in at least 3 domains: cloud platforms, security, infrastructure, tech/business strategy.
+ 10+ years in cloud architecture; 2+ years in leadership roles.
+ Demonstrated ability to design and deliver complex cloud solutions.
+ Experience in large-scale cloud transformation initiatives.
+ Strong interpersonal, communication, and leadership skills.
**Life at Capgemini**
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
**Salary Transparency**
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $ - $ /yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
**Disclaimer**
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please get in touch with your recruiting contact.
Click the following link for more information on your rights as an Applicant
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Ref. code:
Posted on: Aug 20, 2025
Experience Level: Experienced Professionals
Contract Type: Permanent
Location:
New York, US
Brand: Capgemini
Professional Community: Software Engineering
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Senior Solutions Architect, GPU - Cloud Service Providers (Finance)

Senior Solutions Architect, GPU - Cloud Service Providers (Finance)

Join our team at NVIDIA and help bring AI solutions to our largest customers. We are seeking an expert Solutions Architect to assist customers in building AI/ML and HPC software solutions at scale. As a member of our Solutions Architecture team, you will collaborate with strategic customers, providing end-to-end technology solutions and technical support based on our product strategy. Come join us!

What you'll be doing:

• Working with tech giants to develop and demonstrate solutions based on NVIDIA's groundbreaking software and hardware technologies.
• Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
• Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.
• Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
• Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
• Analyzing and developing solutions for customer performance issues for both AI and systems performance.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
• 8+ years of engineering (performance/system/solution) experience.
• Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
• Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
• Effective engineering program management with the capability of balancing multiple tasks.
• Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.

Ways to stand out from the crowd:

• Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).
• Familiarity with deep learning architectures and the latest LLM developments.
• Background with NVIDIA hardware and software, performance tuning, and error diagnostics.
• Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.
• Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until August 25, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#J-18808-Ljbffr

Solutions Architect

Join our team at NVIDIA and help bring AI solutions to our largest customers. We are seeking an expert Solutions Architect to assist customers in building AI/ML and HPC software solutions at scale. As a member of our Solutions Architecture team, you will collaborate with strategic customers, providing end-to-end technology solutions and technical support based on our product strategy. Come join us!

What you'll be doing:

• Working with tech giants to develop and demonstrate solutions based on NVIDIA's groundbreaking software and hardware technologies.
• Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
• Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.
• Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
• Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
• Analyzing and developing solutions for customer performance issues for both AI and systems performance.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
• 8+ years of engineering (performance/system/solution) experience.
• Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
• Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
• Effective engineering program management with the capability of balancing multiple tasks.
• Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.

Ways to stand out from the crowd:

• Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).
• Familiarity with deep learning architectures and the latest LLM developments.
• Background with NVIDIA hardware and software, performance tuning, and error diagnostics.
• Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.
• Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 25, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Are you seeking an opportunity to contribute to a team that brings innovative Artificial Intelligence (AI) technology to NVIDIA's largest clients? We are hiring a Solutions Architect to focus on networking and help develop accelerated computing networking solutions for AI/ML and HPC on hyperscalers. As part of the NVIDIA Solutions Architecture team, you will work closely with strategic customers, offering technical expertise and support for both hardware and software solutions aligned with our product strategy.

What you’ll be doing:

• Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies. A huge part of the day to day job is to help customers debug issues, lead feature request processes, and coordinate the co-engineering program.

• Partner with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.

• Be the go-to technical resource for customers building sophisticated AI infrastructure as well as helping them understand performance characteristics for solutions.

• Work with customers to build PoCs for solutions to address critical business needs.

• Prepare and deliver technical content to customers including presentations, workshops, etc.

• Analyze and develop solutions for customer performance issues for both AI workload and systems performance.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

• 8+ years of engineering (performance/system/solution) experience.

• Expertise with dense datacenter design including networking, compute and storage. Familiarity with Cloud and hybrid cloud Network.

• Experience with Ethernet L2-L7 networking protocol stack.

• Ability to multitask efficiently in a multifaceted environment, ability to work with teams across geographical locations.

• Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.

Ways to stand out from the crowd:

• Deep understanding and hands-on experience with Ethernet Switch software solution and data center production network.

• Extensive experience with RDMA/RoCE and hard-working NICs.

• Hands-on experience with GPU and Networking systems in general including but not limited to performance testing/tuning, benchmarking, etc.

• Strong systems engineering, coding, and debugging skills. Including experience with Python, Ansible, Go, C/C++, Bash, Linux and Windows.

• Demonstrate expertise through developed projects or Open Source contributions in DPDK, IP Sec, HPC, Cloud Native Projects, Kubernetes, Slurm for enabling GPU workloads as well as experience in supporting Deep Learning, Machine Learning or HPC networking infrastructures; experience with networking technologies.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits ( .

Applications for this job will be accepted at least until September 6, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Join our team at NVIDIA and help bring AI solutions to our largest customers. We are seeking an expert Solutions Architect to assist customers in building AI/ML and HPC software solutions at scale. As a member of our Solutions Architecture team, you will collaborate with strategic customers, providing end-to-end technology solutions and technical support based on our product strategy. Come join us!

What you’ll be doing:

• Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.

• Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.

• Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.

• Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.

• Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.

• Analyzing and developing solutions for customer performance issues for both AI and systems performance.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

• 8+ years of engineering (performance/system/solution) experience.

• Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.

• Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.

• Effective engineering program management with the capability of balancing multiple tasks.

• Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.

Ways to stand out from the crowd:

• Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).

• Familiarity with deep learning architectures and the latest LLM developments.

• Background with NVIDIA hardware and software, performance tuning, and error diagnostics.

• Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.

• Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits ( .

Applications for this job will be accepted at least until August 25, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.