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NVIDIA

Energy Solution Architect

NVIDIA

Energy Solution Architect supporting NVIDIA energy customers with GPU-accelerated simulation and AI solutions. Growing China’s energy ecosystem and scaling solutions globally.

Posted 9/2/2026full-timeBeijing • 🇨🇳 ChinaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in GPU Computing, Scientific Computing, and Simulation Tools, with a strong focus on developing scalable solutions for the energy sector. Proven ability to bridge AI and simulation research with practical implementations in the energy industry.

Highest-signal resume keywords
GPU ComputingScientific ComputingEnergy Sector ExperienceCustomer-Facing SolutionsPhysics-Based AI Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
CUDAHPC WorkloadsCFDFEMMolecular DynamicsPhysicsNeMoOmniverse/OpenUSDNVIDIA HPC SDKEnergy StoragePower Systems
Soft Skills
Excellent CommunicationCollaborationEntrepreneurial Approach
Industry Keywords
Green EnergyRenewable Energy SystemsAI-for-Science WorkflowsTechnical ConsultingProof of Concept (PoC) Delivery

About the role

Key responsibilities & impact
  • Provide dedicated technical support for energy customers
  • Drive solution development and hands-on enablement for domain-specific simulation and surrogate modeling use cases
  • Work across multiple NVIDIA software stacks
  • Encourage and grow China’s energy ecosystem
  • Develop solutions that can scale to the global NVIDIA energy vertical
  • Bridge modern AI and simulation research with actual energy industry implementations
  • Help build a new energy vertical from the ground up and shape emerging opportunities

Requirements

What you’ll need
  • 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)
  • Familiarity with scientific computing and simulation tools like CFD, FEM, molecular dynamics, or physics-based AI models
  • Customer-facing experience, including PoC delivery, developing solutions, or technical consulting
  • Excellent communication skills and ability to collaborate with engineering, sales, and product teams
  • A Bachelor’s degree or equivalent experience in a relevant field (Physics, Energy Engineering, Computer Science, or related) is highly encouraged
  • Direct experience with PhysicsNeMo, Omniverse/OpenUSD, or NVIDIA HPC SDK applied to energy or scientific simulation is advantageous
  • Deep knowledge in new energy, renewable energy systems, or AI-for-science workflows
  • Proven success moving customer PoCs into production within energy or industrial verticals
  • Ability to bridge modern AI and simulation research with actual energy industry implementations
  • Entrepreneurial approach with ability to identify and shape emerging opportunities
  • Prior contributions to open-source scientific computing or published research in energy/physics domains

Benefits

Comp & perks
  • Highly competitive salaries
  • Comprehensive benefits package
  • Benefits for you and your family