We are seeking software engineers to work on next-generation graphics and computing 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/C++ programming skills, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation PC/hardware architecture. Excellent communication 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 lifecycle 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.
Assess new hardware features and architect manufacturing diagnostic solutions using pre-beta driver extensions.
This job will require an understanding of our hardware and software architectures.
What we need to see:
BTech or MTech degree in one of following areas: Electrical Engineering, Computer Engineering, Computer Science or equivalent experience.
5+ years' experience in a related hardware/software position.
Strong C/C++ programming skills.
Familiarity with PC architecture, and ability to work close to the hardware.
Background with 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.
Skills Required
- BTech or MTech degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience
- 5+ years of experience in a related hardware/software position
- Strong C/C++ programming skills
- Familiarity with PC architecture and ability to work close to the hardware
- Very strong problem-solving and debugging skills
- Ability to self-manage, demonstrate leadership, and work well interpersonally
- Background with PCIe, NVLink, InfiniBand, or Ethernet server technologies
- Experience working on a large system software codebase
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.”
