Physical Design Methodology and Operations Engineer - New College Grad 2026
About The Position
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 an 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 lead a functional area within the team while contributing across broader operations. There's genuine latitude here: our stack includes mature Perl and Python services alongside modern React frontends and Elasticsearch-based telemetry, and we're actively modernizing. If you want to inherit something real, improve it, and leave it better than you found it, this role is for you.
Requirements
- Recent graduate with a Bachelor's or Master's degree in Computer Science or Computer Systems Engineering (or equivalent experience).
- Programming and scripting skills in one or more languages such as Python, Perl, C, or JavaScript.
- Knowledge about distributed systems and how large-scale compute infrastructure works.
- Shown knowledge in web technologies and programming.
- Linux experience.
Nice To Haves
- Any exposure to workflow orchestration concepts or tools (Airflow, Argo, Luigi, or similar).
- Experience with containerization technologies such as Docker or Kubernetes.
- Familiarity with Elasticsearch / Kibana / Vega for telemetry and dashboarding.
- Familiarity with MSSQL/Mysql/SQLite or other relational and NoSQL datastores.
- Exposure to Static Timing Analysis or VLSI physical design.
Responsibilities
- Designing and supporting mechanisms for coordinating and maintaining large-scale semiconductor design tasks across multiple global datacenters.
- Owning, debugging, and improving production services spanning web browsers, containerized microservices, and bare-metal Linux hosts.
- Building web interfaces to configure, launch, and analyze EDA tools and design flows.
- Contributing to the modernization of legacy services — migrating and re-architecting backends, improving reliability and observability.
- Mining and analyzing large datasets of job execution telemetry and tool quality-of-results data to improve flows and catch regressions.
- Helping invent next-generation semiconductor design methodology.
- Optionally, contributing directly to the physical design of GPU/SoC products — a rare opportunity for an infrastructure engineer.
Benefits
- equity
- benefits
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
