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Gpu Computing System Software Manager Jobs (NOW HIRING)

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System/Software Engineer

Bellevue, WA · On-site

$195K - $231K/yr

Experience in systems/software engineering or HPC/AI development Strong programming expertise in ... GPU accelerator architectures Parallel computing models Memory and compute optimization Strong ...

Nvidia

System Software Engineer - Tegra

Santa Clara, CA

$203K - $240K/yr

You will join a dynamic crew that builds and maintains software for complex heterogeneous computing ... Designing and developing diagnostic middle-ware and diagnostic applications for NVIDIA SOC and GPU ...

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How much do gpu computing system software manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for gpu computing system software manager in the United States is $155,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,500.00 and $162,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Gpu Computing System Software Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $155,000 per year, or $74.5 per hour.

System Software Engineer, GPU Development Tools

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidia Corporationexternal

$203K - $240K/yr

Full-time

Re-posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Are you a hard-working GPU programmer? Do you want to help craft the architecture of future GPUs? A key part of NVIDIA's strength is our sophisticated software platforms and simulation environments that enable our incredible pace of delivering new technology to market. We are looking for ground-breaking, hardworking, and creative people to join a dynamic software team with high production-quality standards. Our work includes developing chip simulations in SW, chip test authoring languages and tools, and driving performance improvement. NVIDIA is continuously pushing the state of the art in chip development tools and infrastructure to enable the next generation of chips. In this position, you will develop the core infrastructure for modeling, analyzing, and debugging the development of large-scale, general-purpose graphics and computing chips. This infrastructure enables our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models, and on simulations, emulations, and silicon for all our GPUs.
What you'll be doing:
  • As a member of the team, you will play a critical part in every stage of development of a GPU
  • Thrive at the interface between software drivers and the GPU simulation
  • You will become the specialist for running SW applications directly on simulated GPUs in diverse environments
  • Capture instrumentation requirements from GPU architects who research next-gen improvements
  • You will coordinate with GPU architects to enable functional and performance testing for the next architecture
  • Work closely with SW teams to help them deliver production-ready drivers when silicon goes to market.
  • In this role, you will improve the daily workflows of leading chip modelers and designers around the globe to help produce the next greatest generation of GPUs.

What we need to see:
  • Bachelor's or Master's in Computer Science or Computer Engineering or equivalent experience
  • 5+ years of relevant software development work experience
  • You understand the software driver stack, either in compute (CUDA) or graphics (DX, OpenGL, or Vulkan)
  • Ability to work across the GPU and driver stacks
  • Strong C++ programming capability are required
  • Knowledge of object-oriented design patterns are required
  • Excellent interpersonal skills
  • Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements

Ways to stand out from the crowd:
  • Experience with chip and/or system simulation
  • Strong Python scripting skills
  • Experience with farm compute tools/techniques like virtual machines, containers, distributed programming

#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range 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 July 6, 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.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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