Senior Engineer - HPC (Semiconductor)

Senior Engineer — HPC (Semiconductor)
Location: Remote Employment Type: Full-time

Role Summary

We are looking for an experienced HPC Engineer with a strong background in semiconductor design environments . The role involves integrating and optimizing EDA toolchains (Synopsys, Cadence, Mentor Graphics) and OPC flows on cloud and on-prem HPC clusters. You will be responsible for designing, running, and tuning large-scale chip design workloads to achieve maximum performance, scalability, and cost efficiency.

Key Responsibilities

• Integrate and validate EDA tools (Synopsys, Cadence, Mentor Graphics) and OPC pipelines on HPC clusters or cloud environments.

• Design and implement job scheduling and resource allocation policies for large-scale EDA workloads (Slurm, PBS, Kubernetes batch systems).

• Optimize runtime performance (CPU, GPU, storage, network) for compute-intensive semiconductor design workflows.

• Containerize and automate EDA environments for reproducibility (Docker, Kubernetes).

• Monitor, troubleshoot, and tune multi-node workloads (MPI, distributed builds).

• Collaborate with design and infra teams to improve throughput, reliability, and cost management.

• Create documentation, runbooks, and onboarding guides for engineers using the HPC environment.

Required Skills & Experience

• 5+ years of experience in HPC / cloud platform engineering or EDA infrastructure support .

• Hands-on experience with Synopsys, Cadence, and/or Mentor Graphics tools in production environments.

• Knowledge of OPC flows and their role in semiconductor design.

• Strong Linux systems administration skills (RHEL/Ubuntu) and scripting (Bash, Python).

• Familiarity with HPC schedulers (Slurm, PBS, Grid Engine, or Kubernetes batch).

• Experience with cloud providers (AWS, Azure, GCP) and instance/storage optimization for HPC.

• Knowledge of storage and I/O tuning for high-performance workloads.

Nice-to-Have

• Experience with license servers (FlexLM, RLM) for EDA tools.

• Exposure to FPGA or GPU-accelerated workloads.

• Familiarity with CI/CD pipelines for EDA environments.

• Background in semiconductor companies or design service providers.

Education

• Bachelor’s / Master’s degree in Computer Science, Electronics, or related field — or equivalent industry experience.