Energy Solution Architect

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.

As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you’ll be doing

We'll have the outstanding opportunity to be at the forefront of energy innovation! As an Energy Solution Architect, we expect to provide dedicated technical support for energy customers, driving solution development and hands-on enablement for domain-specific simulation and surrogate modeling use cases across multiple NVIDIA software stacks. Your efforts will encourage and grow China’s energy ecosystem, giving solutions that can scale to the global NVIDIA energy vertical.

What we need to see

5+ years experience in the new energy sector (i.e. green energy, energy storage, battery, or power systems). Practical knowledge of GPU computing (CUDA, HPC workloads, or accelerated simulation) is vital. Familiarity with scientific computing and simulation tools like CFD, FEM, molecular dynamics, or physics-based AI models is meaningful. Customer-facing experience is needed, including PoC delivery, developing solutions, or technical consulting.

Excellent communication skills and the ability to collaborate with engineering, sales, and product teams are important. A Bachelor’s degree or equivalent experience in a relevant field (Physics, Energy Engineering, Computer Science, or related) is highly encouraged.

Ways To Stand Out From The Crowd

Direct experience with PhysicsNeMo, Omniverse/OpenUSD, or NVIDIA HPC SDK applied to energy or scientific simulation will position you as an outstanding candidate. Deep knowledge in new energy, renewable energy systems, or AI-for-science workflows, paired with proven success in moving customer PoCs into production within energy or industrial verticals. Bridge modern AI and simulation research with actual energy industry implementations.

Passion for building a new vertical from the ground up — entrepreneurial approach with the ability to identify and shape emerging opportunities Prior contributions to open-source scientific computing or published research in energy/physics domains Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/