Drimva

NVIDIA

Developer Relations Manager, Energy Startups

$152K–$242K

US, CA, Santa Clara +1 · Manager · Full-time · Posted Jul 10, 2026

Location
US, CA, Santa Clara
US, Remote
Experience
5+ years overall in the technology industry, including 3+ years of hands-on AI development in the energy sector using NVIDIA technologies.
Education
Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field (or equivalent experience).

About the job

Leads technical engagement with energy-sector developers, startups, and ISVs to drive adoption of NVIDIA AI and computing technologies in partner products and energy applications.

What you'll do

  • Advise energy developers and partners; provide reference implementations, sample code, demos, onboarding, and integration support.
  • Integrate NVIDIA software into partner products and pipelines, resolve architectural challenges, and promote ecosystem adoption.
  • Identify ecosystem opportunities and share field insights with engineering, product, and partner teams to influence roadmaps and adoption strategies.

What they ask for

  • Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
  • 5+ years of overall professional experience in the technology industry, including 3+ years of hands-on AI development in the energy sector using NVIDIA technologies.
  • Experience supporting developer programs, technical ecosystems, or energy-sector ISVs, with a track record growing developer initiatives with prominent tech and energy startups and ISV partners.
  • Proficiency in AI/ML development, CUDA-X libraries, and large-scale training/inference frameworks; strong technical collaboration, project management, and communication skills.

Nice to have

  • Hands-on optimization of energy-sector applications across oil, gas, nuclear, and renewables.
  • Experience with GPU-accelerated energy systems such as seismic imaging, grid optimization, simulations, or energy forecasting.

Pay

152,000 USD - 241,500 USD (base salary)

Tools

NVIDIA technologies, CUDA-X libraries, AI/ML, large-scale training/inference frameworks, NVIDIA software stack, SDKs, NIMs

AI focus

Supports adoption and integration of AI and accelerated computing for energy-sector applications, including exploration, grid optimization, reservoir simulation, predictive maintenance, seismic processing, energy modeling, and monitoring.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)