Senior Circuit Methodology Engineer

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 168,000 - 311,000

Full time

14 days+
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Job summary

NVIDIA is seeking a Senior Circuit Methodology Engineer to own and evolve compute and GPU infrastructure supporting circuit design flows. You will work with Farm, IT, CAD, and GPU teams to ensure scalable, efficient infrastructure and reliable job scheduling across geographies.

Requirements include a BSEE/BSCE, 8+ years in circuit design methodology, strong Python/Perl, and experience with Cadence/Synopsys tools. Familiarity with LSF/Slurm is valued.

Qualifications

  • BSEE or BSCE or equivalent experience required.
  • 8+ years of experience in circuit design methodology.
  • Strong Python and Perl programming skills.
  • Experience with Cadence/Synopsys based tool flows (Virtuoso/Custom Compiler).
  • Familiarity with compute farms and job schedulers (LSF/Slurm).
  • Excellent communication and cross-functional collaboration abilities.

Responsibilities

  • Design, develop, and maintain circuit design and verification flows on large-scale compute/GPU farms.
  • Monitor farm health, optimize throughput, and reduce turnaround time.
  • Bring up and release new compute/GPU infrastructure for the team.
  • Evaluate and qualify new compute resources and schedulers; automate tooling.
  • Develop documentation, training materials, and best-practice guides.

Skills

Python
Perl
LSF/Slurm debugging
Debugging complex flows
Communication
Circuit design experience

Education

BSEE/BSCE or equivalent

Tools

Cadence
Synopsys Virtuoso/Custom Compiler
LSF
Slurm

Job description

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. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. We are looking for a Senior Circuit Methodology Engineer that will work closely with Nvidia's circuit design engineering team in the area of infrastructure support as it pertains to circuit design and methodology. The engineer will own and evolve the compute and GPU infrastructure in coordination with our Farm, IT, CAD, and GPU infrastructure teams. The stability and management of these resources underpins our mixed-signal design and verification flows. This position carries a critical responsibility across the whole circuit design department and impacts the whole company's farm infrastructure!

What you'll be doing:
  • 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.
  • Provide user support, debug flow, infrastructure, and job-scheduling issues; root-cause failures; and implement permanent fixes rather than one-off workarounds.
  • Develop and maintain documentation, training materials, and best-practice guidelines for users of the circuit design compute and GPU environment.
  • Proactively include information into our in-house Ais in order to provide first pass user assistance.
What we need to see:
  • BSEE, BSCE or equivalent experience.
  • Mid-level of programming skill is a must (primarily Python and Perl).
  • 8 plus years of working experience related to circuit design methodology using Cadence/Synopsys based system (Virtuoso/Custom Compiler, respectively).
  • Previous design experience is a huge plus.
  • Experience with job schedulers / compute farms, primarily LSF and Slurm.
  • Proven ability to debug complex multi-layer issues spanning flows, scripts, tools, and infrastructure.
  • Strong communication skills and ability to partner with diverse engineering teams.
  • Exposure to circuit design workloads will be beneficial.

NVIDIA is renowned as the leader in AI computing and one of the world's most innovative and desirable employers. MSDV team consists of individuals who demonstrate outstanding creativity and critical thinking skills, driving innovation forward. If you're passionate, creative, and eager to work on the cutting edge of technology, this is the perfect team for you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 16, 2026.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

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