Senior Datacenter Power Systems Modeling Engineer

Posted 5 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead modeling and simulation for datacenter power systems, manage technical risks, ensure cross-functional alignment, and drive power architecture from concept to production.
Summary Generated by Built In

The Senior Datacenter Systems Modeling Engineer leads cross-functional execution and modeling for data-center power-delivery programs. This role owns rack-level architecture definition and involvement, end to end power modeling and simulation for advanced Datacenter power and energy scheme, and power shelves, busbars, cable vendor management. You ensure the successful delivery of power-related engineering programs by modeling and simulation efforts, coordinating across power architects, power validation, firmware, mechanical teams, and suppliers management.

What you’ll be doing:

  • Lead end-to-end execution for data-center power architecture programs, including Power Shelf, BBU/CBU, busbars, and other rack-level power components.

  • Drive end-to-end modeling and simulation to guide and optimize the design; drive fast and effective failure analysis with solid root cause and correlation actions.

  • Own technical risk management, validation strategy, and cross-functional alignment across architecture, validation, mechanical, compliance, firmware, and suppliers.

  • Translate power-architecture requirements into clear milestones, identifying engineering trade-offs across efficiency, reliability, thermal limits, and manufacturability.

  • Manage PSU and rack-power vendors, support bring-up, close failure analysis cycles, and clearly communicate program status, risks, and escalations to leadership.

What we need to see:

  • Master’s (or higher) degree in Electrical Engineering, Power Electronics, or a related technical field or equivalent experience.

  • 10+ years of experience.

  • Familiarity with simulation and modeling tools such as SIMPLIS, PowerSI/DC, SPICE, PLECS, Q3D, and related tools.

  • Ability to drive highly technical programs from concept to production through modeling and simulation.

  • Experience working with PSU/PSC or other power electric vendors.

  • Strong technical communication and documentation skills.

Ways to stand out from the crowd:

  • Experience working on high-density AI/GPU server platforms.

  • Strong ability to use molding and simulation tools to solve complex power problem.

  • Background in power electronics, PSU/DCDC design, or high-current power delivery simulation.

  • Strong familiarity with data-center power infrastructure, deep knowledge of PSU control behavior.

  • Ability to influence architecture decisions and drive long-term strategies for next-generation power system.

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 - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 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.

Top Skills

Plecs
Powersi/Dc
Q3D
Simplis
Spice
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The Company
HQ: Santa Clara, CA
21,960 Employees
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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