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Tier-1 employer, mid-level (3+ years), and Bangalore metro increase applicant competition.
Niche VLSI CAD/EDA and HPC infrastructure requirements make background fit highly domain-specific.
Multiple mandatory technical requirements and 3+ years experience increase shortlisting strictness.
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Build and scale compute infrastructure including job schedulers, CAD toolchains, and automation frameworks supporting NVIDIA's silicon design teams toward tapeout.
Own and operate hybrid cloud environments (AWS, Azure, GCP, OCI) to extend on-premises CAD capacity elastically.
Manage large-scale Linux compute farms using LSF and/or Slurm and optimize throughput, utilization, and capacity planning.
Bachelor's or Master's degree in Computer Science, Electronics Engineering, or related fields, or equivalent experience.
3+ years of experience in VLSI CAD infrastructure, EDA compute environments, HPC system administration, or SRE for engineering infrastructure.
Strong Linux/Unix administration skills with experience on large-scale compute farms using LSF and/or Slurm.
Proficiency in scripting languages (Python preferred); hands-on knowledge of cloud platforms (GCP, OCI, AWS, or Azure) including compute, storage, networking, and cost fundamentals.
Experienced in operational workflows for CAD/EDA flows such as synthesis, P&R, simulation, or DRC/LVS implementation and verification.
Comfortable troubleshooting software and infrastructure performance issues and benchmarking workloads for optimization.
Familiarity with Linux performance engineering, containerization (Docker/Kubernetes), infrastructure as code (Ansible, Terraform), distributed file systems, and observability tools is advantageous.