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Job Description
Structured overview of role & requirementsAbout This Role
Own the build-out and daily operation of NVIDIA's VLSI HPC compute environments on public cloud and on-premises, ensuring fast and repeatable environment deployment.
Lead architecture reviews and optimize performance of new data center clusters globally across multiple sites.
Develop and maintain automation for cluster bring-up including infrastructure-as-code, configuration management, image build pipelines, and lifecycle management across maintenance events.
Minimum Requirements
B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or equivalent experience.
8+ years in infrastructure engineering with substantial experience running production compute at scale.
Hands-on expertise with a major public cloud, preferably Google Cloud (compute, networking, IAM, storage, quotas).
Strong skills in infrastructure-as-code tools (Terraform, Ansible, Puppet or equivalent), Linux administration and troubleshooting, and experience managing machine image build and OS lifecycle pipelines for large clusters.
Ideal Candidate Profile
Experienced in designing, deploying, and operating large-scale compute clusters end-to-end including cross-site data centers with unified tooling.
Proficient in debugging complex cluster issues including image boot failures, mount problems, scheduler interactions, and quota constraints.
Comfortable collaborating across multiple teams and time zones to enhance operability and infrastructure automation in fast-paced semiconductor or HPC environments.