← All roles

Senior DevOps Engineer

NVIDIA· Engineer, CAD
Apply on company site
Bengalurufull-timePosted 1w ago

About the role

NVIDIA is seeking a Senior DevOps Engineer to own and evolve the automation platform underneath VLSI infrastructure, building tooling, services, and pipelines to automate manual infrastructure work and improve observability and reliability for HPC/EDA workloads.

Responsibilities

  • In this position, you will own the automation platform underneath VLSI infrastructure - the tooling, services and pipelines that turn manual infrastructure work into something that runs itself.
  • Design and build internal services and command-line tooling used daily by design and infrastructure engineers, with real attention to interface design and reliability.
  • Build event-driven automation around source control - reacting to repository events, keeping workspaces and client mappings healthy, and removing the manual maintenance around them.
  • Own CI, release and deployment mechanics for the team's internal tooling, and instrument what you build so it is observable and debuggable by the rest of the team.
  • This is a hands-on technical role. You will write and run the code yourself, work with the scheduling team on the automation layer beneath job submission, and reduce the operational load on senior engineers by turning their recurring manual work into services.

Qualifications

  • B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or equivalent experience.
  • 8+ years in DevOps, platform, or infrastructure software engineering.
  • Strong software engineering in Python - production-quality, tested code; tooling used daily by other engineers.
  • Hands-on experience automating against source control management at scale, Perforce preferred and Git acceptable, including APIs and event streams.
  • Solid CI/CD experience (GitLab CI, Jenkins, or equivalent) and container-based packaging and deployment.
  • Strong Linux systems knowledge and shell fluency, with experience building and operating internal developer platforms or engineering tooling.
  • Familiarity with batch compute environments and how engineering workloads are submitted, tracked and debugged; comfort owning production tooling. Semiconductor/EDA or HPC exposure is a plus.

Skills

Required:PythonSource control automationCI/CDLinux/UnixInternal developer platforms / tooling
Nice to have:Semiconductor/EDA or HPC exposure
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA