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NVIDIA

Designs the chips and software that power AI

Senior Circuit Methodology Engineer

System AdministrationConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Bachelor of Science in Electrical Engineering or Computer Engineering, or equivalent experience.
  • Mid-level programming skill, primarily in Python and Perl.
  • At least 8 years of work experience related to circuit design methodology using Cadence- or Synopsys-based systems, such as Virtuoso or Custom Compiler.
  • Experience with job schedulers and compute farms, primarily LSF and Slurm.
  • Ability to debug complex, multi-layer issues spanning flows, scripts, tools, and infrastructure.
  • Ability to partner with diverse engineering teams.
  • Exposure to circuit design workloads is beneficial.

Responsibilities

  • Design, develop, and maintain circuit design and verification flows that run on large-scale compute and GPU farms across geographies through various job schedulers.
  • 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 for 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 utilization, queue times, and failure rates, and lead ongoing improvement projects for farm efficiency and cost effectiveness.
  • Provide user support by debugging flow, infrastructure, and job-scheduling issues, identifying root causes, and implementing permanent fixes.
  • Develop and maintain documentation, training materials, and best-practice guidelines for users of the circuit design compute and GPU environment.
  • Proactively include information in in-house AI tools to provide first-pass user assistance.

Desired Qualifications

  • Previous circuit design experience.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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