Systems Software Engineer, GPU SW

Sorry, this job was removed at 06:11 p.m. (CST) on Thursday, Dec 04, 2025
2 Locations
In-Office or Remote
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

NVIDIA is searching for a highly motivated, creative engineer with experience in system software to join the GPU Kernel Driver team. As someone who is hardworking and passionate about their work, you will design key aspects of our production GPU kernel drivers and embedded SW. You should demonstrate the ability to excel in an environment with sophisticated software and hardware designs.

GPU Kernel Driver provides the foundation of everything from gaming to professional graphics to the cloud. Computer gaming is the world’s largest entertainment industry and GeForce is the industry leading gaming brand with over 200 million gamers worldwide. We haven’t stopped there, NVIDIA GPUs now provide the leading platform for breakthroughs in AI, data center, accelerated computing, healthcare, intelligent networking, and more. All these products require an industry leading security posture which we want your help with.

What you'll be doing:

  • Define, design, develop and verify features for our GPUs; collaborating with hardware engineers and fellow software engineers

  • You will follow the devices all the way through the development process to the customer desktops, notebooks, workstations, and gaming console products that are used throughout the world

  • Heavily involved with the early modeling and simulation required to produce our world-class 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 related degree (or equivalent experience)

  • Strong 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.)

  • Kernel experience with Linux, Android, Chrome, or Windows systems

  • 3+ years of relevant software development experience

Ways to stand out from the crowd:

  • Background and strength with complex system-level debugging is invaluable

  • Deep understanding of memory management and virtualization concepts/platforms (XenServer, KVM, Hyper-V)

  • Familiarity with kernel level security concepts

  • Experience with embedded system SW concepts, e.g.: RTOS and overlay programming models

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 7, 2025.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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