Senior Systems Software Engineer – GPU Software

Posted 9 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and develop GPU driver features, solve performance issues, and collaborate with global teams, requiring strong systems software expertise.
Summary Generated by Built In

NVIDIA is searching for a creative and highly motivated engineer with expertise in systems software to join the GPU Software team. You will design key aspects of our production GPU kernel drivers and embedded SW that impacts our products both in the datacenter and in gaming markets.  

What you'll be doing: 

  • Design, develop and verify features for our next generation GPU driver architecture; collaborating with hardware engineers and fellow software engineers 

  • Help identify and solve performance bottlenecks in our driver, both in markets of scale like datacenter as well in gaming markets where applications need to run as fast as possible 

  • Get 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 fields (or equivalent experience)

  • 10+ years of relevant software development experience 

  • Proven leadership skills and strong ownership of past projects 

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

  • Exceptional C programming and low-level driver experience; background and strength with complex system-level debugging 

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

  • Familiarity and comfort with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.) 

 
Ways to stand out from the crowd: 

  • Experience as a maintainer or contributor to large open source software projects 

  • Knowledge of virtualization platforms (XenServer, KVM, Hyper-V) 

  • Familiarity with kernel level security concepts; this includes testing techniques and a familiarity with static code analysis, dynamic analysis, fuzzing, negative testing and other techniques 

  • 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 30, 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.

Top Skills

Android
C
Chrome
Hyper-V)
Kvm
Linux
Rtos
Virtualization Platforms (Xenserver
Windows
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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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