Senior Systems Software Engineer – GPU Software

NVIDIA is hiring a Senior Systems Software Engineer – GPU Software in Santa Clara, United States. It pays $152k-$242k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

NVIDIA is seeking an innovative and highly motivated engineer with deep expertise in systems software to join our GPU Software team. In this role, you will help design and develop key components of our production GPU kernel drivers and embedded software, shaping products used across both datacenter and gaming markets.

What you'll be doing:

Design, develop, and verify features for next-generation GPU driver architecture in close collaboration with hardware and software engineering teams
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; help shape robust, scalable driver solutions for both compute and graphics environments
Collaborate with globally distributed teams to deliver scalable, reliable, and high-impact GPU software solutions

What we need to see:

BS or MS degree in Computer Engineering, Computer Science, or related fields (or equivalent experience)
5+ 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 sophisticated software and hardware designs
Exceptional C/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
Experience with CI/CD pipelines, Containerization, Docker, Kubernetes, Environment provisioning, YAML-based pipeline configuration
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

NVIDIA is broadly recognized as 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 other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

How we rate this

Senior Systems Software Engineer – GPU Software at NVIDIA rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.