Physical Design Methodology and Operations Engineer - New College Grad 2026

About the role

We are seeking a Physical Design Methodology and Operations Engineer to join our team. This role involves designing and supporting mechanisms for coordinating and maintaining large-scale semiconductor design tasks across multiple global datacenters. You will also own, debug, and improve production services spanning web browsers, containerized microservices, and bare-metal Linux hosts. Additionally, you will build web interfaces to configure, launch, and analyze EDA tools and design flows, contribute to the modernization of legacy services, and help invent next-generation semiconductor design methodology.

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.
• (Optional) Contributing directly to the physical design of GPU/SoC products — a rare opportunity for an infrastructure engineer.

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.

Qualifications

• 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.