Job Requisition ID

JR2021804

Job Category

Engineering

Time Type

Full time

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we're tapping into the unlimited potential of AI to define the next era of computing — an era in which our GPUs act as the brains of computers, robots, and self-driving cars. Doing what's never been done before takes vision, innovation, and the world's best talent. Come join our diverse team and see how you can make a lasting impact on the world.

We are now looking for a Physical Design Methodology and Operations Engineer You'll join a small team that owns the infrastructure powering NVIDIA's semiconductor design flows — coordinating hundreds of thousands of jobs per day across datacenters with 10,000+ hosts, serving over 1,000 chip designers worldwide. Our platform spans job orchestration, event-driven trigger systems, global service interconnection, web interfaces to tools, and a Jenkins-like CI/CD backbone — a production system with direct stakes in GPU, CPU, SoC and networking tapeouts.



You'll own a functional area within the team while contributing across broader operations. Our stack includes mature Perl and Python services alongside contemporary React frontends and Elasticsearch-based telemetry. We're actively modernizing, and we need someone who can think architecturally — evaluating what we have, identifying what needs to change, and driving that evolution in a way the team can execute and maintain. If you want to own something critical at scale and shape how it grows, this role is for you.

What You'll Be Doing

Designing and supporting mechanisms for coordinating and maintaining large-scale semiconductor design tasks across multiple global datacenters.
Owning the architecture of one or more platform components — defining interfaces, data models, and service boundaries that can scale and evolve.
Leading the modernization of legacy services — evaluating existing Perl and

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