Senior System Software Engineer, GPU Virtualization

Reposted 6 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and develop GPU virtualization software, work on customer issues, collaborate with teams, and maintain technical documentation.
Summary Generated by Built In

NVIDIA is groundbreaking on a variety of fronts, including artificial intelligence, deep learning, robotics, autonomous vehicles, computing and, of course, bringing GPU to cloud. It is a very exciting time to be at NVIDIA! NVIDIA is searching for a highly motivated, creative engineer with experience in system software to join the GPU Virtualization team. As a member of this core team, you will be working with highly motivated and hardworking engineers. As someone who is hardworking and passionate about their work, you must be proactive, able to work independently & multi-functionally, multi-task and thrive in a multifaceted work environment!

What you’ll be doing:

  • Work closely with passionate engineers to design, develop, optimize, debug, unit test, document and maintain next-generation graphics and computing features for NVIDIA GPUs.

  • We work on next-generation GPU hardware and software features through all phases of development, and you will get an opportunity to work across user and kernel stacks.

  • Also work on customer issues and provide timely root cause of the problem and resolution.

  • Collaborate with many internal teams (software, hardware, architecture, QA and OEM support), partners and customers to define new products and features, and resolve issues.

What we need to see:

  • BS degree or higher or equivalent experience (computer science or related).

  • 10+ years of industry experience.

  • In depth understanding of Windows or Linux device drivers, PC architecture and ability to work close to the hardware.

  • Proficient in C/C++ with strong software development, optimization and analytical skills.

  • Strong debugging skills and extensive experience using gdb/kgdb/windbg to analyze complex pieces of software.

  • Strong articulation skills for crafting and improving technical documents, and to engage globally distributed engineering team.

Ways to stand out from the crowd:

  • Understanding of Virtualization concepts and system software for ESX, Hyper-V or KVM.

  • Knowledge of DX/OGL graphics technologies, WDDM model.

  • Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.).

NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

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 January 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

Top Skills

C/C++
Dx
Esx
Gdb
Hyper-V
Kgdb
Kvm
Linux
Ogl
Windbg
Windows
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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