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NVIDIA

Designs the chips and software that power AI

Electrical Engineer

Power Systems EngineeringConfirmed live in the last 24 hours
Full-timeUnited States

About the Job

Requirements

  • A bachelor's or master's degree in Electrical Engineering, with a Professional Engineer license or equivalent experience.
  • At least 12 years of experience in data center electrical build, construction, commissioning, systems engineering, solutions architecture, technical product management, or a related customer-facing engineering role.
  • Deep knowledge of the electrical power path from utility service through high-, medium-, and low-voltage distribution to mechanical loads and IT racks.
  • Hands-on experience with generators, microgrids, battery energy storage systems, uninterruptible power supply systems, remote power panels, busway, rack power supplies or power shelves, and electrical interfaces for chillers, cooling towers, computer room air conditioning units, and computer room air handlers.
  • Experience crafting or evaluating electrical systems for high rack power densities, including load behavior, redundancy, protection, maintainability, and operational change.
  • Expertise in short-circuit, selective-coordination, and arc-flash studies, plus a strong understanding of electrical control sequences and Sequence of Operations.
  • Working knowledge of mechanical, controls, life-safety, and information technology networking systems that collaborate with data center electrical infrastructure.
  • Ability to turn complex engineering topics into clear written mentorship, technical presentations, training, and productive development discussions for varied technical audiences.

Responsibilities

  • Build strong feedback loops with electrical engineering teams at NVIDIA Cloud Partners, data center providers, engineering, procurement, and construction firms, facility infrastructure original equipment manufacturers, system integrators, and AI infrastructure operators.
  • Translate recurring build and deployment friction into clear requirements for DSX product management and engineering roadmaps.
  • Collaborate across NVIDIA and with partners to build and publish practical technical assets for DSX electrical deployments, including reference power architectures, design guides, deployment playbooks, equipment selection mentorship, validated examples, and troubleshooting content.
  • Lead technical workshops, architecture reviews, and build deep dives to help partners apply DSX electrical reference builds to new and existing AI factory sites.
  • Support early-access and field-validation programs for DSX electrical solutions by testing reference builds and operating assumptions against real sites, high-density AI compute racks, and dynamic GPU power behavior before broader release.
  • Work across DSX engineering, product management, solution architecture, deployment, and developer marketing to align technical content with product capabilities and deployment needs.
  • Represent the DSX Electrical field at customer forums, technical conferences, industry working sessions, and partner events; present engineering mentorship and bring subject-area insights back to product teams.

Desired Qualifications

  • Experience applying electrical reference architectures to large-scale GPU clusters, AI factories, or accelerated-computing deployments.
  • Knowledge of dynamic power behavior and mitigation strategies for large GPU deployments.
  • Hands-on expertise with battery energy storage systems, on-site generation, microgrids, microgrid controllers, or utility interconnection requirements.
  • Familiarity with 800 VDC power distribution, international electrical systems, and adaptation of global standards to regional codes and construction practices.
  • A record of creating technical communities, industry mentorship, reference builds, training programs, or standards that engineering teams actively use; demonstrated ability to convey complex technical topics to engineers and strategic direction to executives.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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