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NVIDIA

Designs the chips and software that power AI

Developer Relations Manager, Energy - Energy Startups

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • Bachelor's or master's degree or equivalent experience in Computer Science, Engineering, or a related field.
  • At least 5 years of overall professional experience in the technology industry, including at least 3 years of hands-on AI development in the energy sector using NVIDIA technologies, across software engineering, developer relations, technical partnerships, or solutions architecture.
  • Experience supporting developer programs, technical ecosystems, or energy-sector independent software vendors, with a track record of developing and growing developer initiatives with prominent technology and energy startups and independent software vendor partners.
  • Proficiency in artificial intelligence and machine learning development, CUDA-X libraries, and large-scale training and inference frameworks, with familiarity with modern software frameworks and software development kits.
  • Ability to collaborate across functions on architecture, share feedback, deliver high-impact technical presentations, lead strategic technical collaborations, and conduct code reviews.
  • Ability to manage and implement complex, multi-stakeholder technical projects, solve integration challenges, communicate complex ideas to technical and non-technical audiences, and co-commercialize solutions with strategic independent software vendors.
  • Ability to lead web conferences and technical engagements.

Responsibilities

  • Build and deepen technical expertise across oil, gas, nuclear, solar, wind, and emerging clean technology sectors; serve as a trusted technical advisor and resource for energy developers; partner across functions to develop ecosystem-wide adoption of NVIDIA technologies and create industry standards and guidelines.
  • Demonstrate and integrate NVIDIA's software stack, including tools, software development kits, libraries, NIMs, and blueprints, into partner products, platforms, and pipelines to accelerate performance and drive scalable adoption across energy-sector workloads.
  • Support developers and partners with onboarding and integration by providing reference implementations, sample code, demo pipelines, and hands-on assistance for energy-specific use cases and co-innovation of production-ready solutions.
  • Research and monitor the energy developer ecosystem, identify emerging growth opportunities, and share insights with engineering, product management, and marketing teams to influence product roadmaps and optimize partner adoption strategies.
  • Collaborate with partner senior technical leaders and internal engineering stakeholders to resolve architectural challenges, establish ongoing collaboration rhythms, track adoption, and share field insights with NVIDIA's product and platform teams.
  • Partner with Energy IBDs, account managers, and solution architects to identify high-impact energy platforms and developers building AI-driven exploration, grid optimization, reservoir simulation, and predictive maintenance applications.
  • Work directly with developers at energy startups and independent software vendors to accelerate integration of NVIDIA AI and computing technologies.
  • Collaborate with data and AI partners to scale GPU-accelerated seismic processing, energy modeling, and real-time grid and asset-monitoring workloads.

Desired Qualifications

  • Hands-on experience optimizing applications for oil, gas, nuclear, and renewable energy sectors to improve performance, scalability, and reliability.
  • Expertise with GPU-accelerated data science and AI frameworks, including CUDA-X libraries and large-scale training and inference frameworks, and experience integrating these technologies into production energy systems.
  • Track record of creating seismic imaging systems, real-time grid optimization pipelines, reservoir and reactor simulations, and large-scale energy forecasting on accelerated computing.
  • Demonstrated involvement in growing developer communities across oil and gas operators, nuclear firms, solar and wind startups, utilities, and energy-sector independent software vendors to expand GPU-accelerated AI adoption.

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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