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System Software Engineer - GPU

We are seeking a System Software Engineer to work on next-generation computing and graphics products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C++ programming skills, thorough knowledge of graphics concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture. Excellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors.

What you'll be doing:

  • Working closely with architecture, hardware and driver teams through the product development life cycle of computing and graphics processors, as well as compute products.

  • Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization.

  • You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and Vulkan extensions.

  • Explore ways to use high level compute & graphics programming APIs to stress specific units and flows at a GPU and system level.

  • This job will require an understanding of our hardware and software architectures.


What we need to see:

  • BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science (or equivalent experience)

  • 8+ years proven experience in a related hardware/software position

  • Strong C/C++ programming skills

  • Understanding of PC architecture, and ability to work close to the hardware

  • Background with Parallel Computing, PCIE, Nvlink or server product technologies like Infiniband, Ethernet is a plus

  • Previous experience of working on a large system software code base is preferable

  • Very strong problem solving and debugging skills

  • Ability to self-manage, show leadership, and have good interpersonal skills

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

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

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

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Average salary estimate

$270250 / YEARLY (est.)
min
max
$184000K
$356500K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About System Software Engineer - GPU, NVIDIA

At NVIDIA, we’re on the lookout for a skilled System Software Engineer - GPU to join our cutting-edge team in Santa Clara, CA. In this exciting role, you'll work with the latest computing and graphics products, developing applications that push GPUs to their limits. Your strong C++ programming skills and in-depth understanding of graphics concepts will enable you to contribute to the validation and testing of next-generation processors. You’ll collaborate closely with our architecture, hardware, and driver teams throughout the product development life cycle, crafting innovative software tools and infrastructure tailored to new chip development. As you dig into the hardware features, you'll create and execute diagnostic tests using pre-beta CUDA and Vulkan extensions, ensuring our products perform at their peak. Your expertise in operating systems, algorithms, and computer architecture will be crucial for providing robust and efficient solutions. If you possess a BS or MS degree in Electrical Engineering, Computer Engineering, or Computer Science, paired with over 8 years of experience in hardware/software positions, we want to hear from you! Join our team of talented engineers at NVIDIA and help shape the future of technology. With competitive salaries starting from $184,000 to $356,500 and a fantastic benefits package, this is your opportunity to thrive in an environment that values creativity and autonomy.

Frequently Asked Questions (FAQs) for System Software Engineer - GPU Role at NVIDIA
What should I know to apply for the System Software Engineer - GPU position at NVIDIA?

To apply for the System Software Engineer - GPU position at NVIDIA, you should have a BS or MS degree in Electrical Engineering, Computer Engineering, or Computer Science—or equivalent experience. Additionally, strong C++ programming skills, deep knowledge of graphics concepts and system software fundamentals, as well as over 8 years of relevant experience, are essential. Familiarity with current generation hardware architectures is also crucial to excel in this role.

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What are the main responsibilities of a System Software Engineer - GPU at NVIDIA?

As a System Software Engineer - GPU at NVIDIA, your responsibilities include collaborating with architecture and hardware teams during product development, crafting software tools for new chip development, and assessing new hardware features. You'll also architect manufacturing diagnostic tests and utilize high-level compute and graphics programming APIs to stress specific units and flows, ensuring our products meet performance standards.

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What skills are essential for the System Software Engineer - GPU role at NVIDIA?

Essential skills for the System Software Engineer - GPU role at NVIDIA include advanced proficiency in C/C++ programming, a strong foundation in operating systems, and a deep understanding of computer architecture. Additionally, skills in problem-solving, debugging, and the ability to work closely with hardware are vital. A background in parallel computing and knowledge of server product technologies can provide a competitive edge in this position.

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How does NVIDIA support the career growth of System Software Engineers - GPU?

NVIDIA is dedicated to fostering a robust environment for career growth among its System Software Engineers - GPU. With competitive salaries, generous benefit packages, and a culture centered on innovation and collaboration, employees are constantly encouraged to expand their skill sets and take on new challenges. The company also values diversity, which enhances the creativity and effectiveness of our teams.

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What is the salary range for a System Software Engineer - GPU at NVIDIA?

The salary range for a System Software Engineer - GPU at NVIDIA is between $184,000 and $356,500, depending on factors such as experience and location. Additionally, employees are eligible for equity and an extensive range of benefits, emphasizing the company's commitment to rewarding its talented workforce.

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Common Interview Questions for System Software Engineer - GPU
What motivated you to apply for the System Software Engineer - GPU position at NVIDIA?

In your response, share your passion for technology and how your background aligns with NVIDIA’s commitment to innovation. Discuss specific projects or experiences that sparked your interest in system software, GPU technology, or high-performance computing.

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Can you describe your experience with C++ programming relevant to this role?

Highlight specific projects where you effectively used C++, focusing on both the complexity of the applications and the performance optimizations you implemented. Mention any frameworks, libraries, or specific techniques you employed.

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How familiar are you with current generation hardware architectures?

Discuss the hardware architectures you’ve worked with in previous roles and how they relate to your understanding of GPU technologies. You can mention specific components like processors, memory structures, and how they interact with software.

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What techniques do you use for debugging complex system software?

Explain your systematic approach to debugging and troubleshooting. Include tools you use, such as debuggers, profilers, and logging mechanisms, along with how you prioritize issues based on their impact.

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Can you walk us through a time you collaborated with cross-functional teams in a project?

Share a specific example of a successful collaboration with hardware, software, or driver teams. Emphasize your communication skills, role in conflict resolution, and the overall impact of your teamwork on the project outcome.

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What do you understand by parallel computing, and what experience do you have in this area?

Define parallel computing and explain its significance in modern applications, particularly in graphics and high-performance computing. Share relevant experiences where you utilized parallel programming techniques to optimize performance.

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How do you approach performance optimization in system software?

Detail your approach in identifying bottlenecks and the tools or methods you use to enhance performance. Discuss any metrics you examine to measure improvements, sharing success stories from previous experiences.

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What is your understanding of CUDA and Vulkan programming APIs?

Discuss the roles of CUDA and Vulkan in GPU programming and the advantages they offer in developing high-performance applications. Mention any experience you have with these APIs and highlight key projects you’ve undertaken.

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How do you stay current with advancements in GPU technology?

Discuss resources you utilize to keep updated, such as academic journals, online communities, workshops, or conferences. Emphasize your proactive approach to learning and how it informs your work as a system software engineer.

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What qualities do you believe are important for success as a System Software Engineer at NVIDIA?

Identify key traits such as adaptability, a strong problem-solving mindset, collaboration skills, and a commitment to innovation. Relate these qualities back to how they help drive success in complex engineering environments like NVIDIA.

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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.

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CULTURE VALUES
Customer-Centric
Mission Driven
Inclusive & Diverse
Rise from Within
Diversity of Opinions
Work/Life Harmony
Growth & Learning
Transparent & Candid
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Child Care stipend
Paternity Leave
WFH Reimbursements
Flex-Friendly
Dental Insurance
Vision Insurance
Life insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
401K Matching
Military leave
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 18, 2025

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