Senior Thermal Solutions Design Engineer

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 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, 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.

• 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.

• Experience working with external vendors on building and deployment.
• Familiarity with statistical methods and tools for data analysis.
• Experience applying modern data analytics/ML concepts to characterization data (trend analysis, outlier detection, regression/surrogate modeling, or experiment design/optimization) to reduce debug time and improve coverage.
• A "go‑getter, can get it done" attitude and independent "out‑of‑box" thinking.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $168,000 USD – $264,500 USD for Level4, and $196,000 USD – $310,500 USD for Level
5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June
15,2026.

NVIDIA is committed to fostering an inclusive work environment and is an equal‑opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.