Hiring.Camp

Senior Circuit Design Engineer - Power Modeling and Simulation

Nvidia

·

Jun 12, 2026

Location
Santa Clara, CA,US, US · CA,US, US
Workplace
Remote
Type
Full-time
Department
Engineering
Seniority
Senior
Experience
6+ years
Education
PhD
Source
Eightfold

Description

NVIDIA has been at the forefront of technological innovation for over two decades. Our journey began with the invention of the GPU in 1999, which revolutionized the PC gaming market, redefined modern computer graphics, and transformed parallel computing. More recently, our advancements in GPU deep learning have ignited the era of modern AI, positioning NVIDIA as a leader in this next wave of computing.

We are now looking for a motivated Senior Circuit Design Engineer in Power Modeling and Simulation to join our dynamic and growing Circuits Solutions Group. If you are looking for a significant and exciting role in improving the netlist and timing quality of our designs and if you are a strong self-starter and highly motivated individual who loves to collaborate and find solutions to hard technical problems, join us today!

What you’ll be doing:

  • Participate in innovative Processor design in deep submicron technologies.
  • Work as part of a global circuits team to design innovative power delivery and power management solutions.
  • You'll model and simulate analog and digital circuits and systems in a variety of environments with different degrees of abstraction and complexity.
  • Model and simulate power delivery networks (PDN) from die level all the way to platform level.
  • Perform detailed block-level and system-level simulations to ensure good reliability, performance, and stability of the designs.
  • Be a mentor/technical lead for junior team members.

What we need to see:

  • BSEE (or equivalent experience)/MS or PhD degree preferred in Electrical or Computer Engineering with 6+ years of experience with modeling and simulation digital and analog circuits and systems and associated power delivery networks.
  • Experience with industry-standard electromagnetic simulation tools (Ansys, Sigrity)
  • Experience with modeling and simulation using Matlab/Simulink, Simplis, Spice, verilogAMS, mixed-signal RTL+spice, s-parameters, etc.
  • Familiarity/experience with industry-standard design and EDA tools (Cadence Virtuoso, Allegro) and circuit simulation tools (HSpice, Spectre, Primesim, XA, etc)

Ways to stand out from the crowd:

  • Hands-on experience modeling and simulating complex and sophisticated power delivery networks for CPU/GPU.
  • Hands-on background simulating digital and analog circuits and control loops is a plus.
  • Proficiency in scripting language, such as, Perl, Tcl, Python, Skill, and automation methods/algorithms is a plus.

We are dedicated to solving some of the world's most complex problems, from healthcare to robotics, self-driving cars to blockbuster movies, and beyond. Our work in AI and digital twins is transforming industries and profoundly impacting society. We thrive on seamless collaboration, shared success, and a commitment to diversity and individuality. Everyone at NVIDIA contributes, and everyone belongs.

Join us at NVIDIA, where you will be part of an eclectic, passionate group of professionals dedicated to making a lasting impact on the world. Together, we will continue to push the frontiers of technology and create a better tomorrow.

#LI-Hybrid

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.

You will also be eligible for equity and benefits.

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

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Skills

PythonPerlDeep Learning

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