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Tier-1 brand and metro location increase competition, but niche HPC/CAD skillset limits the applicant pool.
Role requires niche HPC, LSF/Slurm, CAD/EDA and GPU infrastructure experience, limiting transferability across industries.
Explicit 3+ years plus mandatory HPC, scheduler, GPU and cloud skills enforce strict shortlisting.
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Build and scale compute infrastructure supporting NVIDIA's next-generation silicon design, including job scheduler environments and CAD toolchains.
Integrate and operate hybrid cloud environments (AWS, Azure, GCP, OCI) to extend on-premises CAD capacity elastically.
Troubleshoot and improve CAD/EDA software performance, automate job scheduling and monitoring, and manage large-scale Linux compute farms using LSF and/or Slurm.
Bachelor's or Master's degree in Computer Science, Electronics Engineering, or related field or equivalent experience.
3+ years of experience in HPC system administration, Cloud infrastructure, Systems engineering, or SRE roles supporting engineering infrastructure.
Strong Linux/Unix administration skills with large-scale compute farm experience using LSF and/or Slurm.
Hands-on experience managing GPU compute farms and knowledge of cloud platforms (GCP, OCI, AWS, or Azure).
Experienced in managing high-throughput HPC environments supporting CAD/EDA workloads related to silicon design (e.g., synthesis, place and route, simulation).
Proficient with scripting languages (preferably Python) for automation in complex HPC and cloud environments.
Strategic focus on scaling hybrid cloud infrastructure, capacity planning, and performance optimization in silicon design engineering contexts.