NVIDIA is looking for an exceptional engineer to grow and thrive alongside our HPC Infrastructure team that designs, evaluates, and optimizes the compute inrastructure powering NVIDIA's next-generation silicon design and AI
workloads. You will own the automation platform underneath VLSI infrastructure - the tooling, services and pipelines that turn manual infrastructure work into something that runs itself
What you'll be doing:
- 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.
What we need to see:
- 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 - you write production-quality, tested code rather than one-off scripts, and you have delivered tooling that other engineers depend on daily.
- Hands-on experience automating against source control management at scale, Perforce preferred and Git acceptable, including its 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, and comfort owning what you build in production. Semiconductor/EDA or HPC exposure is a plus.
Skills Required
- B.E., B.Tech, M.Tech in Computer Science, Electrical Engineering, or equivalent experience
- 8+ years of experience in DevOps, platform engineering, or infrastructure software engineering
- Strong production-quality Python software engineering and testing experience
- Experience automating source control management at scale using APIs and event streams; Perforce preferred and Git acceptable
- Solid CI/CD experience with GitLab CI, Jenkins, or equivalent
- Experience with container-based packaging and deployment
- Strong Linux systems knowledge and shell fluency
- Experience building and operating internal developer platforms or engineering tooling
- Familiarity with batch compute environments and engineering workload submission, tracking, and debugging
- Semiconductor, EDA, or HPC exposure
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
