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: • 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. These responsibilities will include: • 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: • 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. This posting is for an existing vacancy. 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.

Requirements

Must-haves

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.
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.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until May 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipython

Platform: eightfold
Effort: medium