Senior Systems Software Engineer – GPU Software
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $152,000 to $241,500
Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (22 min ago) · observed since
About this job
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.Source: NVIDIA on Workday · View original posting (opens in new tab)
This listingSenior Systems Software Engineer – GPU Software$152,000 to $241,500
Senior Networking Architect$152,000 to $287,500
Solutions Architect, AI and ML$152,000 to $287,500
Infrastructure Solutions Architect - OEM$152,000 to $287,500
Senior Software Engineer, CUTLASS Performance$152,000 to $287,500
Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure$152,000 to $287,500
Senior Graphics Driver Engineer$152,000 to $241,500
Chart as a table
| Role | Published base |
|---|---|
| Senior Systems Software Engineer – GPU Software (this listing) | $152,000 - $241,500 |
| Senior Networking Architect | $152,000 - $287,500 |
| Solutions Architect, AI and ML | $152,000 - $287,500 |
| Infrastructure Solutions Architect - OEM | $152,000 - $287,500 |
| Senior Software Engineer, CUTLASS Performance | $152,000 - $287,500 |
| Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure | $152,000 - $287,500 |
| Senior Graphics Driver Engineer | $152,000 - $241,500 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: US, CA, Santa Clara
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.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.