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.
Were 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.
What we need to see:
Bachelors or masters 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.
Ways to stand out form the crowd:
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.
