Overview
Own the operational health, efficiency and observability of a large Linux compute farm serving NVIDIA's VLSI design teams, supporting the Infrastructure team that designs and optimizes compute infrastructure for silicon design and AI workloads.
What you'll do
- Own the operational health, efficiency and observability of a large Linux compute farm serving NVIDIA's VLSI design teams.
- Profile and debug at the system level (kernel, filesystem, memory and I/O behaviour) when workloads are slow, and turn findings into fixes rather than tickets.
- Drive compute efficiency: memory request-versus-usage accuracy, CPU waste from idle and over-provisioned jobs, and the prediction models behind resource requests.
- Build the observability layer for the farm: telemetry pipelines, metrics and dashboards that make capacity, utilisation and job behaviour visible to engineers and leadership.
- Own licence monitoring and expiry alerting across the EDA tool estate.
- Perform day-to-day farm operations and live triage, working directly with the heaviest users on their workload behaviour.
What you'll need
- B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or equivalent experience.
- 8+ years in Linux systems administration or infrastructure operations at scale.
- Deep Linux systems and kernel-level expertise, comfortable with perf, eBPF/bpftrace, strace, cgroups, NUMA, memory management, scheduler behaviour and I/O subsystems, and able to use them to find root cause.
- Demonstrated experience diagnosing and fixing performance problems on large multi-user compute systems.
- Strong NFS and distributed filesystem troubleshooting: metadata versus data path, client behaviour, mount and latency issues.
- Hands-on experience building observability: time-series metrics, log and telemetry pipelines, and dashboards (Prometheus/Grafana, Elastic, or equivalent).
- Strong Python for analysis and automation.
- Familiarity with batch schedulers (LSF, Slurm, or equivalent) and job resource accounting.
- A genuine appetite for operational work.
Nice to have
- Semiconductor/EDA or HPC background.
Details
- Location: India, Bengaluru.
Read the full description and apply on the company’s own careers page.