NVIDIA

Senior Thermal Solutions Design Engineer

NVIDIA

full-time

Posted on:

Location Type: Hybrid

Location: Santa ClaraCaliforniaTexasUnited States

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Salary

💰 $168,000 - $310,500 per year

Job Level

Tech Stack

About the role

  • 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 our world-class standards.
  • Work closely with system architects, chip and board designers, and software/firmware engineers in a dynamic and high-energy environment 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), improving cycle time, coverage, and traceability while validating outputs against physics, specs, and lab measurements.
  • 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.

Requirements

  • 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 (effective prompting, verification/traceability, and data/IP hygiene) to improve productivity—without expectation of building AI agent infrastructure or training models.
Benefits
  • Equity
  • Benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords

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Hard Skills & Tools
thermal management principlesfluid dynamicscooling solutionshigh heat flux problemsCAD softwaresilicon testingboard buildsoftware knowledgeAI-assisted engineering toolsdesign iteration
Soft Skills
communication skillsprogram management skills
Certifications
Bachelor's in Electrical EngineeringMaster's in Electrical EngineeringBachelor's in Thermal/EnergyMaster's in Thermal/EnergyBachelor's in Mechanical EngineeringMaster's in Mechanical Engineering