Senior GPU System Software Engineer

Sorry, this job was removed at 08:09 p.m. (CST) on Friday, May 30, 2025
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5 Locations
In-Office or Remote
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are searching for a creative and highly motivated engineer with expertise in system software to join the Tegra System Software organization. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.

What you will be doing:

  • Design, develop and test key aspects of our GPU kernel driver and embedded firmware with a focus on enabling best-in-class power, performance, security and safety that will be used across Linux, QNX and Android.

  • Work closely with multi-functional teams such as Hardware and Software teams to understand requirements for new hardware, SW APIs and implement solutions ranging from low level hardware abstraction layers to SW utilizing OS Kernel SW.

  • Perform Safety, Security analysis of the design and implement mechanisms to stay in sync with product specific safety/security requirements.

What we need to see:

  • BS/MS degree in Electronics/Computer Engineering, Computer Science, or related degree (or equivalent experience).

  • 8+ years of relevant software development experience.

  • Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs.

  • Strong understanding of Multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming.

  • Outstanding C programming and low-level driver experience.

  • Experience with ARM based processor architecture.

Ways to stand out from the crowd:

  • Previous experience in architecting and developing GPU kernel driver.

  • Understanding of GPU software stack across user space, kernel and firmware.

  • Previous experience with system architecture involving virtualization

  • Experience in Pre-Silicon/Post-Silicon bring up of complex SoCs.

  • You can design simple systems that work optimally without needing much support.

We are widely considered to be one of the technology world’s most desirable employers, and as a result have some of the most forward-thinking and hardworking people in the world working for us. So if you're resourceful, creative, and driven, we'd love to have you join the team.

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

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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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