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 modern 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 Python backends, proposing migration strategies, and driving execution with the team.
Debugging and improving production services spanning web browsers, containerized microservices, and bare-metal Linux hosts.
Building and improving web interfaces to configure, launch, and analyze EDA tools and design flows.
Mining and analyzing large datasets of job execution telemetry and tool quality-of-results data to improve flows and catch regressions.
Mentoring junior engineers and contributing to design reviews and technical standards across the team.
Helping invent next-generation semiconductor design methodology.
Optionally, contributing directly to the physical design of GPU, CPU, SoC, and networking products — a rare opportunity for an infrastructure engineer.
What we want to see:
Bachelor's or master's degree in computer science or computer systems engineering (or equivalent experience).
5+ years of software engineering experience, with a track record of designing and delivering production systems.
Strong software architecture and design skills — experience defining service boundaries, APIs, data models, and system interfaces.
Proficiency in Python and/or Perl; comfort with JavaScript and web technologies.
Experience with distributed systems at meaningful scale.
Proven ability to lead a project through its full lifecycle, from requirement solicitation to architecture design, to implementation, to maintenance and support.
Comfort owning and debugging Linux-based production services.
Ways to stand out from the crowd:
Experience with workflow orchestration systems (Airflow, Argo, Temporal, Luigi, or similar).
Experience with containerization technologies such as Docker or Kubernetes.
Familiarity with Elasticsearch / Kibana / Vega for telemetry and dashboarding.
Experience with MSSQL/Mysql/SQLite or other relational and NoSQL datastores.
Exposure to Static Timing Analysis or VLSI physical design.
NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're an engineer who thinks in systems, takes pride in designing things that last, and wants to see the silicon your work helps produce — we want to hear from you.
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