NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and artificial intelligence for more than 25 years. It’s a unique legacy of innovation fueled by great technology and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing for every industry, including the power systems that make modern life and AI infrastructure possible. Our Global Energy team works with leading utilities, power systems companies, technology partners, and energy innovators to apply accelerated computing, simulation, digital twins, and AI from the cloud to the grid edge. We are looking for a partner leader who can help build the ecosystem enabling AI and simulation across transmission, distribution, grid operations, substations, DERs, and intelligent edge infrastructure. What could AI and simulation unlock for the future of the electric grid? In this role, we will work together to help partners create repeatable solutions that improve reliability, reduce cost, accelerate time to outcomes, and enable a more resilient and intelligent power system. Come help us shape the future of energy!
What you’ll be doing:
We partner with grid software providers, power systems ISVs, automation companies, global systems integrators, service delivery partners, cloud providers, and system OEMs to bring NVIDIA technology to the power industry. This role builds the business relationships, partner strategies, and joint go-to-market plans that help turn NVIDIA accelerated computing, AI, simulation, and digital twin platforms into scalable solutions for utilities, grid operators, power producers, and energy infrastructure companies.
The work includes collaborating with partner leadership, NVIDIA Energy Solution Architects, field teams, and product teams to support PoCs, platform porting, solution development, RFQ responses, and customer pursuits. We focus on high-impact use cases across transmission planning, interconnection studies, distribution operations, grid simulation, outage management, asset optimization, demand flexibility, substation automation, and grid edge intelligence. Ready to help modernize the grid with AI?
What we need to see:
Bachelor’s degree or equivalent experience.
12+ years of experience in enterprise sales, partner management, business development, or power systems technology roles.
Experience building relationships with partner executives, senior customer leaders, and cross-functional teams.
Understanding of power systems, utilities, energy infrastructure, enterprise software, cloud platforms, AI, simulation, or accelerated computing.
Ability to translate technology capabilities into partner strategies, customer outcomes, and joint go-to-market plans.
Strong communication and writing skills, including experience presenting to senior leaders and large audiences.
Experience managing multiple priorities, partner programs, and customer opportunities across teams and regions.
Ways to stand out from the crowd:
Experience with transmission, distribution, DERMS, ADMS, EMS, OMS, grid planning, grid simulation, substation automation, or grid edge intelligence.
Background working with ISVs, global systems integrators, automation companies, cloud service providers, system OEMs, or software platform companies.
Knowledge of AI, deep learning, high performance computing, digital twins, cloud data centers, edge computing, or simulation technologies.
Experience creating partner enablement plans, solution roadmaps, customer pursuit strategies, or repeatable market offerings.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Skills Required
- Bachelor's degree or equivalent experience
- 12+ years of experience in enterprise sales, partner management, business development, or power systems technology
- Experience building relationships with partner executives and senior customer leaders
- Understanding of power systems, utilities, energy infrastructure, enterprise software, cloud platforms, AI, simulation, or accelerated computing
- Strong communication and writing skills
- Experience managing multiple priorities and partner programs across teams
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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