We are looking for a talented and driven VLSI CAD Automation & DevOps Engineer to join our team. This role combines expertise in front-end automation, continuous integration, CAD tooling, and full-stack development to support and enhance our VLSI verification workflows.

What will your job look like:

Flow & CI/CD Automation

• Automate RTL lint, CDC/RDC, synthesis checks (front‑end only), and UVM regression flows.
• Build and maintain CI/CD pipelines (Jenkins/GitLab CI) for simulation, coverage collection, and sign‑off checks.
• Implement pre‑submit checks (lint, CDC) and nightly regressions with dashboards for pass/fail and coverage metrics.
  
  

EDA Tooling & CAD Enablement

• Manage and integrate front‑end EDA tools (e.g., VCS, Xcelium, Questa, SpyGlass).Develop scripts to parse logs/reports (lint, CDC, coverage, simulation) and generate actionable summaries.
• Maintain PDK-independent front‑end tool configurations and flow reproducibility.
  
  

Compute & Licensing

• Operate and optimize compute farm schedulers (LSF/SLURM/Grid Engine) for simulation and regression jobs.
• Monitor and tune license usage for front‑end tools (FlexLM/Lmx), ensuring high availability and efficiency.
  
  

Observability & Support

• Build dashboards for regression health, coverage trends, and farm/license utilization.
• Troubleshoot flow failures, triage environment vs. design issues, and publish runbooks for common problems.
  
  

All you need is:

• Strong Linux fundamentals; scripting in Python, Tcl, and shell.
• Hands-on with CI/CD (Jenkins/GitLab) for hardware verification flows.
• Experience with EDA tools for RTL and DV (Synopsys VCS, Cadence Xcelium, Siemens Questa, SpyGlass).
• Familiarity with compute schedulers and license servers.
• Source control expertise (Git or Perforce) and automation for code reviews.
• UVM methodology and coverage analysis experience - an advantage.
• Containers for EDA (Docker/Apptainer) and observability stacks (Grafana/ELK )-an advantage.
• Exposure to hybrid HPC or cloud bursting for simulation workloads -an advantage.