Senior CUDA Driver and DevOps Engineer

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.

On a typical day, you might work on systems and scripts using Github and Gitlab to manage and deploy your work. You should be proactive in identifying and clarifying ambiguity, championing best-practices, and helping find the balance between competing priorities to ship better software, faster. You will use runners in the cloud and on prem, feel comfortable working with GitHub Actions and Kubernetes to support the build, testing and deployment of software. If you embrace abstraction, have an intuition for identifying and decomposing coupled systems, and thrive in an iterative environment, we believe you will fit right in.

What you will be doing:

• Decomposing and modularizing build processes for reusability across multiple projects

  
  

• Debugging GitHub Actions/GitLab pipelines to ensure timely and efficient CI execution

  
  

• Working on scripting and infrastructure to handle dependencies across various environments and build systems

  
  

• Bringing up builds and CI across platforms (x64/arm64) and OSes (Linux/Windows/Mac) and other unreleased hardware and software

  
  

• Working with engineering leadership to identify the support matrix and define the scope of the build matrix

  
  

• Crafting and updating documentation and coordinating with partners to scope and take on multi-functional projects

  
  

• Automating scheduled work for all of the above

  
  

What we need to see:

• Bachelor’s Degree in Systems/Software/Computer Engineering, CS or equivalent experience

  
  

• 8+ years of relevant industry experience or equivalent academic experience after BS

  
  

• Experience working across multiple highly-coupled projects (in Git or another VCS)

  
  

• Experience collaborating with cloud providers, Kubernetes, GitHub Actions, and other systems

  
  

• Familiarity with automating container builds, updates, and debugging multi-container workflows

  
  

• Background with CI/CD systems including Github and Gitlab

  
  

• Understanding of testing principles and how to quantify/improve coverage, developer velocity

  
  

• Knowledge of release management practices

  
  

• Strong analytical, debugging, and problem-solving skills

  
  

• Familiarity with containerization technologies (e.g. Docker)

  
  

Ways to stand out from the crowd:

• Experience working with or building for HPC/multi-node environments

  
  

• Experience handling proprietary software, confidential hardware, or large codebases (100k+ LoC)

  
  

• Familiarity with deployment technologies, getting software from CI/CD into customers hands

  
  

• Exposure to development across multiple OSes

  
  

• Familiarity with build systems such as CMake, autotools, make, bazel or others

  
  

This is your chance to work on innovative projects and have a tangible impact on the world! Join us and be part of something outstanding. 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/