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).
5+ 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.).
If you are driven to envision, define and deliver what’s next for the industry and your career while unlocking your full potential, come to NVIDIA. You will have the opportunity to grow in our flexible and multifaceted environment, challenge your thinking, and influence the future of technology. NVIDIA is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills Required
- BS degree in computer science or related field
- 5+ years of industry experience
- In-depth understanding of Windows or Linux device drivers
- Proficient in C/C+
- Strong debugging skills (gdb/kgdb/windbg)
- Ability to craft and improve technical documents
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
