Senior Engineer, Build and DevOps - ADI

NVIDIA is seeking a Senior Engineer, Build and DevOps - ADI to join its Analytics and Data Intelligence Engineering Operations team. The successful candidate will support multiple engineering teams working on data science libraries such as RAPIDS, an open-source suite for GPU-accelerated data science.

The role involves working closely with RAPIDS build and development teams to ensure high-quality releases of CUDA/C++ and Python libraries as well as containers. Key responsibilities include:

• Managing cutting-edge hardware and informing purchasing decisions for the team
• Collaborating with build engineers, developers, and management to deliver high-quality software
• Developing and modernizing packages for RAPIDS data science libraries
• Designing and maintaining container build processes
• Implementing DevOps best practices
• Executing on a range of DevOps initiatives including CI/CD, observability, security/legal compliance, and SysAdmin tasks
• Operating and maintaining infrastructure and development processes

The ideal candidate will have:

• A Bachelor of Science in Computer Engineering, Computer Science or related technical field or equivalent experience
• 8+ years of technical experience primarily related to DevOps
• Proven experience in programming and automation with scripting languages (Bash and Python preferred)
• Experience with Conda and/or PyPI packaging, container technologies such as Docker, and CI/CD tools (including Jenkins, Git, GitHub Actions)
• Linux system administration experience (Ubuntu strongly preferred)
• Experience with cloud services (AWS, Azure, and others), especially permissions, budget, and cost management

NVIDIA offers competitive salaries, a generous benefits package, and equity.