NVIDIA is searching for a highly motivated, creative engineer to join the GPU Software team. As a GPU/SOC system software engineer, you will work with a team of very dedicated software and hardware engineers involving a wide variety of technologies. As someone who is hardworking and passionate about their work, you will craft and debug key aspects of our production GPU and SOC kernel drivers and embedded SW, focusing on platform performance, power savings, and robustness. You should demonstrate the ability to excel in an environment with intricate system level interactions.
What your role entails:
- Design, implement and debug changes in the NVIDIA SW stack to take next-gen HW from design / development stage to production, with focus on kernel-mode SW
- You will follow the devices all the way through the development process to datacenter systems, customer desktops, notebooks, workstations, and gaming console products that are used throughout the world
- Be heavily involved in emulation, bringup, and product hardening required to build our groundbreaking products
- Multiple opportunities to collaborate and communicate effectively with teams from all around the globe
What we need to see:
- BS or MS degree in Computer Engineering, Computer Science, or equivalent experience
- 5+ years of relevant software development experience
- Background in solving problems that apply to sophisticated systems deployed at scale
- Strong C/C++ programming skills as well as having shown initiative in pursuing independent coding projects
- Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)
- Strong Operating systems fundamentals with Kernel experience on Linux or Windows systems
Ways to stand out from the crowd:
- Background and strength with system-level (SW and HW) debugging is invaluable
- Windows Driver Models, with WDDM or MCDM a strong plus.
- Familiarity with system level security concepts
- Experience with system software concepts
Skills Required
- Bachelor’s or master’s degree in Computer Engineering, Computer Science, or equivalent experience
- 5+ years of relevant software development experience
- Experience solving problems involving sophisticated systems deployed at scale
- Strong C and C++ programming skills
- Independent coding project experience demonstrating initiative
- Understanding of computer architecture, microprocessors, microcontrollers, caches, buses, memory controllers, and DMA
- Strong operating systems fundamentals and kernel experience on Linux or Windows
- System-level software and hardware debugging experience
- Windows Driver Model experience, preferably WDDM or MCDM
- Familiarity with system-level security concepts
- Experience with system software concepts
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.”
