Building end-to-end patterns linking grid/plant OT to IT/data centers facilities covering substations, PDUs/UPS, backup generation, micro-grids, cooling, telemetry, and AI workload orchestration.
Developing senior level relationships with CTOs, product managers, and engineers across grid software, automation, and power systems to scale NVIDIA platforms for ADMS/DERMS, EMS, protection & stability studies, substation and factory digital twins, and edge AI.
Unblocking technical integration of NVIDIA SDKs (CUDA, Triton, TensorRT, RAPIDS, NIM, Modulus, Omniverse, Metropolis, Isaac/ROS, Jetson/IGX) into partner products/workflows; publishing case studies and blueprints.
Translating field constraints such as latency, determinism, interoperability (IEC 61850, OPC UA, MQTT, CIM or equivalent experience), and cybersecurity/NERC CIP into concrete requirements for NVIDIA roadmaps; validating via performance studies.
Coordinating with Product, Sales, and Cloud/SI partners to deploy solutions at utilities, EPCs, and hyperscale/colocation operators; scaling through marketplaces and references.
Establishing measurable outcomes (SDK integration, NVIDIA platforms, POC through production conversion, training, community growth); driving joint announcements.
What We Need to See:
BS/MS in Computer Science, Electrical/Power Systems Engineering, (or related field) or equivalent experience.
8+ years in solutions or developer-facing roles in power systems, grid/industrial software, or data centers, with hands-on AI/ML, data engineering, time-series analytics, or edge systems.
2+ years leading technical programs or developer communities (direct or matrix leadership).
Experience in product development/management for power-system applications or modeling; familiar with SCADA/DCS, protective relaying, planning & operations studies, and weather-to-grid workflows.
Skilled in grid/industrial software, data-center power/thermal setups, and grid-interactive operations.
Ability to translate opreator and OT constraints into robust architectures; strong communication with developers and executives.
Willingness to travel ~25-40% to partner sites and events.
Ways to Stand Out from the crowd:
Product management/enablement at ABB, Emerson, Honeywell, Yokogawa, Vertiv, Eaton, Mitsubishi Electric, DIgSILENT, Schneider Electric, GE, or Oracle Utilities portfolio.
Published acceleration or scale results on grid planning/stability, agent-based/grid simulations, or large-scale time-series analytics on GPUs.
Hands-on deployments of computer vision or edge AI in substations, plants, or data centers (Jetson/IGX), including safety/resilience and OT/IT integration.
Exposure to Generative AI in operator tools and workflows; familiar with weather modeling and power-system coupling.
Contributions to public benchmarks, tutorials, or developer communities in grid/industrial tech.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until June 2, 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
Additional Information
NVIDIA is searching for an outstanding Developer Relations leader to build a robust developer and partner ecosystem of GPU-accelerated applications across electric grid, power automation, and industrial operations. The Energy team delivers platforms and programs that apply AI and accelerated computing from transmission and distribution to substations, plants, and all the way into modern data centers as they evolve into AI factories.
This role connects ADMS/DERMS, EMS/market operations, protection and stability studies, industrial control, and facilities power/thermal orchestration into cohesive, GPU-accelerated solutions. You'll turn time-series analytics, graph/agent-based simulation, computer vision, and LLM copilots into measurable reliability and efficiency gains-from edge devices and control rooms to grid-interactive, high-density compute sites. If building cross-OT/IT solutions that span switchgear to liquid-cooled racks excites you, read on.
Nvidia · Santa Clara, CA