Energy Solution Architect

NVIDIA
Beijing, Shanghai, Shenzhen
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Collaboration","Customer focus","Technical consulting"]

Provide dedicated technical support to energy customers by driving solution development and hands-on enablement for simulation and surrogate modeling use cases across multiple NVIDIA software stacks. Collaborate with engineering, sales, and product teams to move customer proof-of-concepts into production, leveraging GPU computing and scientific simulation workflows to help scale China’s energy ecosystem.

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FursaFursa
NVIDIA
NVIDIA
1 week ago

Energy Solution Architect

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Provide dedicated technical support to energy customers by driving solution development and hands-on enablement for simulation and surrogate modeling use cases across multiple NVIDIA software stacks. Collaborate with engineering, sales, and product teams to move customer proof-of-concepts into production, leveraging GPU computing and scientific simulation workflows to help scale China’s energy ecosystem.
Location: Beijing, Shanghai, Shenzhen
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Provide dedicated technical support for energy customers, driving solution development and hands-on enablement.
  • •Enable domain-specific simulation and surrogate modeling use cases across multiple NVIDIA software stacks.
  • •Collaborate with engineering, sales, and product teams to deliver customer solutions.
  • •Support proof-of-concept delivery and help move customer PoCs into production within energy and industrial verticals.
  • •Grow China’s energy ecosystem by delivering scalable solutions aligned with NVIDIA’s global energy vertical.

Key Requirements

  • •5+ years of experience in the new energy sector (e.g., green energy, energy storage, battery, or power systems).
  • •Practical knowledge of GPU computing, including CUDA, HPC workloads, or accelerated simulation.
  • •Familiarity with scientific computing and simulation tools such as CFD, FEM, molecular dynamics, or physics-based AI models.
  • •Customer-facing experience delivering PoCs, developing solutions, or providing technical consulting.
  • •A Bachelor’s degree or equivalent experience in a relevant field (Physics, Energy Engineering, Computer Science, or related).
Experience:5+ yearsEnergyRenewable energyEnergy storageScientific computingAI-for-science
Skills:CommunicationCollaborationCustomer focusTechnical consulting
Tech Stack:CUDAHPCCFDFEMMolecular dynamicsPhysicsNeMoOmniverseOpenUSDNVIDIA HPC SDKSurrogate modeling

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor