Senior VLSI CAD Software Engineer

NVIDIA is rebuilding the way chips get built, and we’re looking for a senior engineer to help lead that transformation.

This is a full-stack platform role on the team responsible for the development environment behind our silicon. You will help define how agentic orchestration and durable execution become first-class parts of the chip-design workflow.

We’re looking for someone who has built complex systems before — across backend, frontend, and infrastructure — and is ready to set the technical direction for what comes next.

What You'll Be Doing

• Architect and lead full-stack EDA platforms end to end, from data models and backend services to the frontends engineers use every day — while making key technical and build-vs-buy decisions.
• Own the infrastructure these platforms run on at scale, including CI/CD, containerization, observability, on-prem compute, and cloud-native Kubernetes environments.
• Set engineering standards across the team by leading design reviews, improving reliability and developer experience, and mentoring engineers.
• Act as a technical leader across silicon, backend, and design-automation teams, helping turn fragile manual flows into dependable automated systems used by many engineers.
  
  

• Bachelor’s or master’s degree in Computer Science, Computer Engineering, or equivalent experience.
• 5+ years of software engineering experience, with a strong track record of designing, shipping, and operating production systems.
• Proven full-stack and infrastructure ownership across multiple layers of the stack — not just isolated feature development.
• Strong technical judgment and the ability to make and defend architectural decisions under real-world constraints.
• Experience mentoring engineers and influencing technical direction across teams.
  
  

• Experience building developer platforms, EDA/CAD tooling, or infrastructure for hardware or silicon teams, with a working understanding of VLSI design flows.
• Experience with modern build systems, especially Bazel, including large-scale builds, dependency modeling, caching, CI integration, and reproducible developer workflows.
• Production experience designing and operating durable execution platforms at scale, such as Temporal, Restate, AWS Step Functions, or DBOS.
• Deep Kubernetes and HPC scheduling experience, including LSF or Slurm, and experience running large workloads reliably on AWS, GCP, or Azure.
• Strong systems-design instincts, fluency with graph algorithms and large-scale data structures, and strong SQL skills.