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Senior Thermal Solutions Design Engineer

NVIDIA· Engineer, ASIC
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Santa Clara, CA$168k - $264.5kFull-timePosted 6mo ago

About the role

Thermal Solutions Development Engineer in NVIDIA's Silicon Codesign Group, transforming thermal solution concepts into lab-ready builds and driving end-to-end development, AI-assisted design, and collaboration with cross-functional teams to bring GPU/SOC products to market.

Responsibilities

  • Build thermal solutions for engineering characterization and validation of next-gen GPU/SOC products, ensuring flawless delivery from concept to lab.
  • Drive end-to-end development and deployment of thermal solutions, collaborating with internal teams and external vendors on build requirements, prototype evaluation, test system integration, and software automation.
  • Improve thermal design processes by incorporating feedback and findings, developing workflow and maintaining world-class standards.
  • Work closely with system architects, chip and board designers, and software/firmware engineers to bring industry-defining products to market.
  • Apply AI-enabled approaches and AI tools to accelerate design iteration, test planning, and characterization/validation triage (e.g., requirements/spec summarization, experiment prioritization, log/telemetry summarization, anomaly/outlier detection).
  • Partner with AI/tooling teams as the thermal domain SME to define use-cases, success criteria, and evaluation methods; provide feedback to improve tool reliability and usability.

Qualifications

  • Bachelor/Masters in Electrical Engineering, Thermal/Energy, Mechanical Engineering, or related majors (or equivalent experience), with 8+ years of relevant experience.
  • Strong understanding of thermal management principles and fluid dynamics.
  • In-depth knowledge of sophisticated cooling solutions and high heat flux problems.
  • Outstanding communication and program management skills.
  • Proficiency in CAD software for crafting and modifying 3D models of electronic components and cooling systems.
  • Solid understanding of silicon testing, board build, and software knowledge.
  • Comfort adopting AI-assisted engineering tools responsibly to improve productivity—without expectation of building AI agent infrastructure or training models.

Skills

Required:Thermal managementCooling solutionsCAD softwareSilicon testing & board buildCommunication & program management
Nice to have:AI-assisted engineering tools

Benefits

  • equity
  • benefits (see NVIDIA benefits)
Last updated Sep 25, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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