Want to know if this job is worth applying to?
San Jose, California, United States
Onsite
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.
What you'll be doing:
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.
What we need to see:
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.
Ways to stand out from the crowd:
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.
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 creative, curious, and eager to own something that matters at scale — we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.