Senior Software Engineer, Infrastructure Automation and Distributed Systems

About the role

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 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 hardworking people in the world working for us. If you are creative, autonomous, and love a challenge, we want to hear from you.

Responsibilities

• Design, build, deploy, and run infrastructure services and manage the software life cycle 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 justified.
• Practice sustainable, blameless incident prevention and incident response while being a member of an on-call rotation.
• Consult with and provide guidance to peer teams on systems design best practices.

Requirements

• 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 systems 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.

Qualifications

• 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 assistants, 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, OpenStack, Docker, or Slurm.
• Experience teaching reliability (e.g., SRE) or more general cloud systems best practices to peers or other companies (e.g., CRE).
• Background with NVIDIA Collective Communication Library (NCCL).
• No prior experience in a team with a specific name or in an ML/AI-focused team is required but is a plus.