NVIDIA is searching for an outstanding Developer Relations leader to build a robust partner and developer ecosystem of GPU-accelerated applications across the power generation industry. Our Energy team is responsible for the solution stack and go-to-market strategy that brings accelerated computing and AI to thermal (gas/steam), nuclear (large reactors and SMRs), renewables (solar, wind, hydro), and grid-connected storage. This role sits at the intersection of engineering and business: partnering with leading OEMs and ISVs to co-create digital twins, accelerate physics-based simulation, and deploy AI that improves reliability, safety, and efficiency. Expect to span on-prem, edge, and secure/air-gapped environments while translating real-world plant constraints into platform requirements. If you thrive on turning ground breaking GPUs and SDKs into production-grade outcomes for sophisticated power assets, you’ll feel right at home.What you’ll be doing:<ul><li>Leading technical relationships with CTOs, product managers, and developers across power generation partners including nuclear/SMR, gas/steam, renewables, hydro, and storage—to accelerate adoption of NVIDIA platforms (CUDA, Omniverse, Modulus/Physics-ML, RAPIDS, Triton/TensorRT, NIM, Earth-2, Clara, Jetson/IGX, DGX/GB200, networking, edge/embedded).</li><li>Shaping “blueprint” reference solutions for plant digital twins and balance-of-plant optimization, predictive maintenance and anomaly detection, human-in-the-loop operations, advanced controls, and accelerated design/simulation workflows.</li><li>Driving SDK integrations, joint roadmaps, and evidence-based product feedback loops; influencing NVIDIA platform priorities with partner requirements, important metrics, and performance benchmarks.</li><li>Producing high-quality developer content sample code, reference architectures, and how-to guides—backed by workshops, enablement sessions, and conference talks (e.g., GTC and industry forums).</li><li>Orchestrating multi-party solutions with ISVs, OEMs, SIs, and cloud providers that support engineering design, qualification, licensing, and plant operations.</li><li>Defining and tracking success metrics (design-ins, SDK integrations, POC→production conversion, content adoption, training completions, co-marketing results) and reporting clear progress to partners.</li><li>Partnering with Sales and Business Development to land lighthouse deployments and scale wins across global fleets while ensuring enterprise-grade security, safety, and reliability (model validation, data governance, air-gapped/edge patterns).</li></ul>What we need to see:<ul><li>BS or MS in Computer Science, Electrical/Mechanical/Nuclear Engineering, or related field or equivalent experience.</li><li>8+ years overall in developer-facing or solution roles (DevRel, solutions/field engineering, product/tech marketing, application engineering) delivering AI/ML, simulation/HPC, or industrial software.</li><li>2+ years leading multi-functional technical initiatives or developer programs (people management or strong matrix leadership).</li><li>Domain familiarity with power-gen operations (plant systems, procedures, safety culture, outage/maintenance cycles) and industrial IoT/OT environments.</li><li>Demonstrated ability to build developer content and communicate effectively with both executives and deep technical audiences.</li><li>Comfort operating in regulated, critical settings (secure/air-gapped, redundant architectures) and collaborating on cybersecurity practices.</li><li>Willingness to travel ~25–40% for partner sites and industry events.</li></ul>Ways to stand out from the crowd:<ul><li>Direct work with Siemens Energy, Hitachi Energy, Westinghouse, GE Hitachi, Rolls-Royce SMR, or SMR start-ups.</li><li>Proven acceleration of CAE/CFD/FEA/neutronics/thermal-hydraulics or physics-ML workloads on GPUs, with published benchmarks or case studies.</li><li>Knowledge of nuclear/quality standards and regulatory frameworks (e.g., NQA-1, 10 CFR 50 App. B, IEC/ISO safety) and their impact on software qualification and ML deployment.</li><li>Open-source contributions, reference architectures, or widely adopted tutorials in industrial/energy domains.</li><li>Experience delivering edge AI in harsh/regulated environments (air-gapped, redundant, SIL-rated) and integrating with OT/ICS or exposure to autonomous control/finite-state automation for plant operations.</li></ul>NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most intelligent and hardworking people in the world working for us. If youre creative and autonomous, we want to hear from you!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.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until August 31, 2025.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.#deeplearning