DSX Energy Engineer

NVIDIA•Santa Clara, CA
•Onsite

About The Position

NVIDIA is seeking a DSX Energy Engineer to help advance the energy systems that power large-scale AI. Based in Santa Clara, California, this role connects NVIDIA engineering builds and standards with power producers, utilities, grid operators, and other partners to support reliable, affordable, and scalable energy for AI factories. The engineer will develop feedback loops with energy-sector partners, translate recurring development and operating concerns into requirements for DSX products, and provide technical mentorship on behind-the-meter and front-of-the-meter energy strategies. The role supports partner evaluations of generation and interconnection options, early-access and field-validation initiatives for DSX Energy capabilities, and engagement with utilities, regulators, consumer advocates, and host communities. It also coordinates with NVIDIA teams across engineering, data centers, product management, solution architecture, deployment, sustainability, public policy, and developer marketing, and represents DSX Energy in customer, industry, regulatory, and community forums. This position calls for extensive power-system experience and the ability to connect data-center load behavior to grid interconnection, explain complex technical and commercial topics to varied audiences, and guide internal teams and external partners without direct authority. NVIDIA states that the successful candidate will be eligible for equity and benefits.

Requirements

  • Bachelor's or Master's degree in Electrical Engineering, Power Systems, Energy Systems, or a related technical field, or equivalent experience.
  • At least 12 years of experience in power generation, transmission, distribution, utility planning, energy project development, large-load interconnection, energy systems engineering, solution architecture, or a related customer-facing engineering role.
  • Deep knowledge of electric power systems, from generation and transmission through distribution, substations, utility service, and large-load facilities.
  • Ability to reason from rack-level load behavior to the point of common coupling, including step load and transient response, ride-through, protection coordination, harmonics, and interactions between fluctuating loads and on-site generation and storage.
  • Working familiarity with large-load data center electrical architecture and ability to use reference builds, one-line diagrams, basis-of-design documents, and equipment specifications.
  • Experience with behind-the-meter and front-of-the-meter generation, energy storage, microgrids, distributed energy assets, and hybrid power systems.
  • Understanding of conventional, renewable, and emerging generation technologies and their technical, operational, commercial, and environmental tradeoffs.
  • Knowledge of load-flow, short-circuit, stability, interconnection, transmission-capacity, and resource-adequacy studies.
  • Practical understanding of RTO and ISO procedures, utility tariffs, power purchase agreements, energy and capacity markets, demand response, grid services, and infrastructure cost allocation.
  • Ability to explain complex engineering, regulatory, economic, and community topics through clear technical mentorship, presentations, training, and productive discussions with varied audiences.
  • Strong cross-functional leadership and proven ability to guide internal teams and external partners without direct authority.

Nice To Haves

  • Direct participation in utility-scale generation, transmission development, large-load interconnection, or co-located generation projects.
  • Experience crafting behind-the-meter systems combining generation, battery storage, microgrids, and grid-interactive controls.
  • Knowledge of power-flexible data centers, demand response, workload orchestration, and using AI factories as controllable grid assets.
  • Experience with utility rate proceedings, large-load tariffs, interconnection agreements, infrastructure cost allocation, or ratepayer-protection mechanisms.
  • Familiarity with advanced nuclear, natural gas, geothermal, solar, wind, fuel cells, long-duration storage, and other technologies relevant to reliable AI factory power.

Responsibilities

  • Build feedback loops with utilities, independent power producers, generation developers, transmission owners, RTOs and ISOs, EPC firms, equipment manufacturers, energy technology companies, NVIDIA Cloud Partners, and AI factory operators.
  • Translate recurring energy-development, interconnection, reliability, commercial, and community concerns into written requirements for DSX product management and engineering roadmaps.
  • Collaborate with NVIDIA and partners to develop mentorship for behind-the-meter and front-of-the-meter strategies, including on-site generation, microgrids, battery storage, renewable and firm generation, utility-scale projects, transmission capacity, power purchase agreements, and wholesale energy markets.
  • Lead technical workshops and architecture reviews to help partners assess generation and interconnection options against site-specific requirements.
  • Support early-access and field-validation initiatives for DSX Energy capabilities, including power-flexible operations, demand response, grid services, energy orchestration, and coordination between compute workloads and energy availability.
  • Engage utilities, regulators, consumer advocates, and host communities on energy affordability, reliability, infrastructure investment, siting, land use, water, emissions, and noise; provide transparent information on tariffs, cost allocation, ratepayer protections, and project benefits.
  • Coordinate across DSX engineering, data center engineering, product management, solution architecture, deployment, sustainability, public policy, and developer marketing to align technical content with product capabilities and collaborator needs.
  • Represent DSX Energy at customer forums, energy conferences, regulatory workshops, community discussions, and industry working groups.
  • Bring field insights back to product teams and track outcomes such as time to power, interconnection duration, reliability, flexibility, and documentation clarity.

Benefits

  • Equity
  • Benefits
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