Senior Software Engineer, Infrastructure Automation and Distributed Systems

We are seeking Systems Engineers and Software Engineers interested in building and running reliable large scale infrastructure platform services. In this organization, you will ensure that our internal and external facing EDA services atop of NVIDIA hardware are running as reliably as needed. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us.

Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.

• Design, build, deploy, and run infrastructure services & manage the software life cycle in scope to meet our business goals.
• Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy.
• Eliminate toil or automate it where the ROI of building and maintaining automation is worth it.
• Practice sustainable blameless incident prevention and incident response while being a member of an oncall rotation.
• Consult with and provide consultation for peer teams on systems design best practices.

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience.
• 12+ years of relevant experience.
• A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others.
• Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud system in production.
• Experience in one or more of the following:
  Python, Go, Perl or Ruby.
• In depth knowledge in one or more of Linux, Networking, Storage, and Containers.

• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. Experience accelerating positive impact to the business using coding assistant(s), MCP servers, or AI agents.
• Experience working with or developing bare metal as a service (BMaaS) associated systems.
• Experience working with or developing multi-cloud infrastructure services and running private or public cloud systems based on one or more of Kubernetes, Open Stack, Docker or Slurm.
• Experience teaching reliability (e.g SRE) or more general cloud systems good practices to peers or to other companies (e.g CRE).
• Background with NVIDIA Collective Communication Library (NCCL).

No prior experience having worked in a team of any particular name or having worked in a ML/AI focused team are required but also a nice to have.