Senior VLSI CAD Engineer

What You'll Do

• managing job scheduler environments, integrating cloud compute, supporting CAD toolchains, and maintaining automation frameworks.
• These systems help our design teams move quickly toward tapeout.
• What You Will Be Doing: Running and fine-tuning sizable compute farms (LSF and/or Slurm) on Linux clusters, alongside integrating hybrid cloud solutions (AWS, Azure, or GCP) to elastically broaden on-premises CAD capacity.
• Working within the CAD/EDA software environment — troubleshooting performance issues, benchmarking tools, and driving root-cause resolution for complex infrastructure problems in a fast-paced build environment.
• Building automation frameworks in Python, Perl, Bash, or Tcl to streamline job scheduling, monitoring, and operational reporting.
• Collaborating with build teams to optimize job efficiency and resource utilization, and owning capacity planning for upcoming tapeout achievements.
• What We Need to See: B.E./B.Tech or M.Tech/M.S. in Computer Science, Computer Engineering, Electronics Engineering, or a related field, with 3–8 years of hands-on experience in VLSI CAD infrastructure, EDA compute environments, or HPC system administration.
• The candidate must have proven expertise with LSF or Slurm in a production multi-user environment.
• They should have strong Linux/Unix system administration skills.
• Proficiency in at least one scripting language, with Python preferred, is necessary.
• Practical experience with cloud computing platforms (AWS, Azure, or GCP) — including compute, storage, networking, and cost basics — coupled with a solid grasp of CAD/EDA tool flows (synthesis, P&R, simulation, DRC/LVS, or equivalent).
• Excellent problem-solving skills with the ability to diagnose ambiguous infrastructure issues under time pressure.
• Experience with infrastructure-as-code (Ansible, Terraform), containerization (Docker, Kubernetes, Singularity), parallel/distributed file systems (NFS, GPFS, Lustre), version control (Git, Perforce), or CI/CD and monitoring stacks (Grafana, Prometheus, Splunk, ELK) is a strong plus. #LI-Hybrid