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Senior Circuit Methodology Engineer
NVIDIA
US, CA, Santa Clara · On-site · relocation$14,000–25,875 gross/mofull-timeNVIDIA Careers (offices abroad)
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
Responsibilities
- We need someone who will design, develop, and maintain circuit design and verification flows that run on large‐scale compute and GPU farms located across geographies through various job schedulers.
- Proactively monitor farm health and job behavior, identify bottlenecks, and implement solutions to improve throughput, utilization, and turnaround time.
- Bring up and release new compute and GPU infrastructure to be used by the team.
- Evaluate and qualify new compute and GPU resources, schedulers, and related EDA infrastructure components.
- Build automation and tooling to streamline flow setup, job submission, resource allocation, logging, and reporting.
- Track important measurements (utilization, queue times, failure rates) and lead ongoing improvement projects for farm efficiency and cost effectiveness.
- You would also be required to provide user support, which may include: debug flow, infrastructure, and job‐scheduling issues; root‐cause failures; and implement permanent fixes rather than one‐off workarounds.
- Additionally, you will be asked to develop and maintain documentation, training materials, and best‐practice guidelines for users of the circuit design compute and GPU environment.
- We also want to proactively include information into our in-house Ais in order to provide first pass user assistance.
- What we need to see
Languages
- Work format
- On-site
- Seniority
- Senior
- Posted
- 12 May 2026
- Last verified
- In the last 5 days
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