Senior Software Engineer, Nix Packaging and Release Automation
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 12, 2026. NVIDIA scores B on the Alion truth index.
Join Kitmaker, the team that packages and delivers NVIDIA software to developers worldwide! We build automation for packaging, testing, and releasing software across multiple ecosystems. You’ll bring Nix expertise to the team while also tackling a broad range of software engineering and release automation projects.
Our goal is to turn sophisticated software releases into repeatable, tested, automated workflows. We are looking for an engineer who enjoys working across different technologies, takes ownership of delivery, and builds systems that reduce manual work with each release. You will collaborate with NVIDIA product teams and open-source contributors, balancing upstream compatibility with product requirements and release commitments.
We build tools that reduce repetitive work so we can spend more time solving engineering problems together.
What you'll be doing:
- Develop and maintain Nix packages for CUDA Toolkit, cuDNN, TensorRT, and other NVIDIA compute software, addressing dependency management, compatibility, reproducibility, and usability.
- Build automation from release discovery through package generation, testing, and delivery, with clear diagnostics and recovery paths.
- Own packaging improvements from investigation through delivery, turning recurring tasks and failures into reusable tools and automated regression tests.
- Work with product teams, release engineers, and the Nix community to support new releases and contribute improvements upstream.
- Develop tools and automation across Kitmaker’s packaging and release systems, working across languages, platforms, and package formats as team needs evolve.
What we need to see:
- BS/MS in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 12+ years of experience in software engineering, packaging, release engineering, or infrastructure automation.
- Strong practical experience with the Nix package manager, Nix expression language, and nixpkgs packaging conventions.
- Proficiency in Python or another general-purpose programming language, along with shell scripting and Linux debugging.
- Experience building maintainable automation, CI/CD pipelines, and tests that validate actual package installation and use.
- Sound judgment about scope, maintenance cost, and delivery risk; ability to distinguish required product outcomes from preferred technical approaches and execute agreed priorities.
- Clear communication and effective collaboration across product teams, release engineering, and open-source communities.
Ways to stand out from the crowd:
- Contributions to nixpkgs or other Nix projects that demonstrate technical depth and constructive collaboration.
- Experience packaging GPU software or complex, multi-version dependency stacks, including CUDA driver/runtime compatibility.
- Familiarity with Debian, RPM, or Conda packaging, binary caches, or artifact repositories.
- Examples of reducing manual maintenance through automation, including practical experience building, evaluating, or improving agentic engineering workflows.
NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the industry working with us. If you are creative, autonomous, and excited to build reliable infrastructure at scale, we want to hear from you!
Join a team of engineers at NVIDIA dedicated to scaling the AI infrastructure that powers cutting-edge data science applications. Our team solves complex challenges across datacenter hardware, networking, distributed systems, and software deployment. We collaborate closely to design and deliver leading infrastructure solutions. We value strong technical foundations paired with creative thinking and a bias toward execution. Together, we continuously push boundaries, grow our skills, and advance NVIDIA’s capacity to build and deploy AI-based infrastructure at scale.
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 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 16, 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.