Senior Circuit Methodology Engineer

Posted 7 Hours Ago
Be an Early Applicant
2 Locations
Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Circuit Methodology Engineer, you will qualify circuit simulators, evaluate EDA tools, develop workflows, and integrate AI into methodologies to enhance design quality and efficiency. You'll work closely with IT and hardware teams to drive decisions and improvements in circuit design processes.
Summary Generated by Built In

We are now looking for a Senior Circuit Methodology Engineer! Join NVIDIA’s diverse team of innovators shaping the future of technology. From revolutionizing gaming and graphics with our GPU invention to pioneering AI through deep learning, we’re constantly evolving to tackle global challenges. At NVIDIA, your unique perspective can contribute to our mission of amplifying human potential. Whether you’re an experienced professional or a recent graduate, there’s a place for you in our inclusive environment. Together, let’s push the boundaries of innovation and make a lasting impact on the world. Join us in our exciting journey to transform computing and enhance human intelligence.

Working in NVIDIA's Circuit Design Engineering team, you will be contributing in the area of Circuit Methodology. Circuit simulator qualification and 3rd party (EDA) tool evaluation/integration will be emphasized to help our circuit design team achieve higher design quality, efficiency, and decision enablement in complex design scenarios.

What you’ll be doing:

  • Qualification and regression testing of circuit simulator performance/functionality across different platforms and environments and developing a flow to standardize this process.

  • You'll partner with IT and HW Infrastructure teams on evaluation of new hardware to help drive purchasing decisions.

  • You'll work with EDA vendors on evaluating new tools to benefit circuit design QoR.

  • You'll develop and own new EDA tool workflows, that will involve architecting, implementing, advertising (in-house), and maintenance of new EDA tool workflows.

  • Help promote NVIDIA ideas to help steer EDA tool development.

  • Review past problem cases and address issues with innovative procedures or infrastructure improvements.

  • Drive the incorporation of AI algorithms into workflows to increase productivity

What we need to see:

  • BSEE, BSCE or equivalent experience.

  • You have proven experience with transient simulators like: ALPS, HSPICE, PrimeSim, Spectre/Spectre X is required

  • Good programming skills with Python and Perl is a must

  • 6+ years of working experience related to Circuit Design methodology using Cadence/Synopsys based system and tools (Virtuoso/Custom Compiler, respectively).

Ways to stand out from the crowd:

  • Previous design experience is a huge plus.

  • Familiarity with Cadence ADE Assembler is a big plus.

  • Exposure to and experience with AI algorithms/flows is a significant benefit

NVIDIA is a pioneer in bringing groundbreaking technology to new markets. We have some of the most forward-thinking and hardworking people in the world working with us. If you're creative and autonomous, we want to hear from you!

#LI-Hybrid

The base salary range is 168,000 USD - 310,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

Alps
Cadence
Custom Compiler
Hspice
Perl
Primesim
Python
Spectre
Synopsys
Virtuoso
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

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, NVIDIA is increasingly known as “the AI computing company.”

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