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.
-
Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
-
Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
-
Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
