Senior System Software Engineer - Nixpkgs

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in CA, USA
Remote
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and maintain Nix packages for NVIDIA software, engage with the open-source community, design CI/CD pipelines, and improve software release processes.
Summary Generated by Built In

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 passionate about open-source packaging and delivering GPU-accelerated software to developers worldwide? We are seeking a System Software Engineer to join Kitmaker, our team responsible for getting NVIDIA's software out the door. As NVIDIA scales its AI computing and accelerated software portfolio, first-class support in the Nix ecosystem is critical to reaching developers who rely on reproducible, declarative system configurations. Kitmaker oversees packaging and release for many business areas of NVIDIA, from CUDA Toolkit to our expanding compute software stack, and we're investing heavily in growing our presence in the nixpkgs ecosystem. If you love building high-quality Nix packages, contributing upstream, and bridging the gap between NVIDIA's proprietary software and open-source packaging communities, you'll thrive on our team!

What you'll be doing:

  • Develop, maintain, and improve Nix packages for CUDA Toolkit, cuDNN, TensorRT, and other NVIDIA compute libraries, ensuring they are correct, reproducible, and upstreamable to nixpkgs

  • Engage directly with the nixpkgs open-source community - reviewing PRs, participating in RFC discussions, and coordinating upstream contributions as needed

  • Design and implement CI/CD pipelines to automate the build, test, and release of Nix packages at scale

  • Partner with product teams to understand release cadences and ensure NVIDIA software is available in nixpkgs promptly and reliably after each upstream release

  • Evaluate existing packaging approaches with a critical eye to identify opportunities to improve reproducibility and usability

  • Act as an internal subject-matter expert, advising teams on how to support Nix-related procedures into software releases

What we need to see:

  • BS/MS degree in Computer Science, Computer Engineering, or related field (or equivalent experience)

  • 5+ years of experience in software packaging, release engineering, DevOps, or related areas

  • Strong expertise with the Nix package manager and Nix expression language

  • Demonstrated contributions to nixpkgs or other open-source Nix projects

  • Familiarity with CUDA Toolkit packaging challenges such as driver/runtime compatibility and versioning

  • Experience with CI/CD pipeline development

  • Proficiency in scripting languages for tooling and automation

  • Strong communication skills with the ability to collaborate across internal teams and open-source communities

Ways to stand out from the crowd:

  • Active maintainer of GPU-related packages in nixpkgs. Experience packaging complex, multi-version software stacks in Nix

  • Familiarity with other packaging ecosystems such as conda-forge, RPM, or Debian. Track record of upstreaming fixes to nixpkgs rather than maintaining downstream forks

  • Experience with binary cache infrastructure or artifact management systems. Active involvement in the NixOS community

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking exceptional individuals like you to help us drive the next wave of artificial intelligence.

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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 29, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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

Ci/Cd
Cuda Toolkit
Cudnn
Nix
Scripting Languages
Tensorrt
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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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