Role at a glance
- Salary
- $168K – $310.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8 plus years of working experience related to circuit design methodology using Cadence/Synopsys based system
- Education
- BSEE, BSCE or equivalent experience.
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Senior Circuit Methodology Engineer supports infrastructure, flows, and tooling for circuit design and verification on large-scale compute and GPU farms. The role partners with Farm, IT, CAD, and GPU infrastructure teams to improve the stability, performance, and usability of the mixed-signal design and verification environment.
What You'll Do
- Design, develop, and maintain circuit design and verification flows across compute and GPU farms and job schedulers.
- Monitor farm health and job behavior, identify bottlenecks, and improve throughput, utilization, and turnaround time.
- Bring up and release new compute and GPU infrastructure for the team.
- Evaluate and qualify compute and GPU resources, schedulers, and related EDA infrastructure components.
- Build automation and tooling for flow setup, job submission, resource allocation, logging, and reporting.
- Debug flow, infrastructure, and job-scheduling issues, identify root causes, and implement permanent fixes.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BSEE, BSCE, or equivalent experience; mid-level programming skills primarily in Python and Perl; 8 plus years of experience related to circuit design methodology using Cadence/Synopsys-based systems; experience with LSF and Slurm; ability to debug complex issues spanning flows, scripts, tools, and infrastructure; strong communication skills and ability to partner with diverse engineering teams.
Required
- BSEE, BSCE or equivalent experience
- Mid-level programming skill, primarily Python and Perl
- 8 plus years of working experience related to circuit design methodology using Cadence/Synopsys-based systems
- Experience with job schedulers or compute farms, primarily LSF and Slurm
- Ability to debug complex multi-layer issues spanning flows, scripts, tools, and infrastructure
- Strong communication skills and ability to partner with diverse engineering teams
Preferred
- Previous design experience
- Exposure to circuit design workloads
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.