Senior Thermal Solutions Design Engineer

Are you ready to contribute to world-class innovation and push the boundaries of what's possible? At NVIDIA, you'll have the opportunity to be part of a team that is driving groundbreaking impacts across various markets. As a Thermal Solutions Development Engineer, you will play a pivotal role in our Silicon Codesign Group, transforming thermal solution concepts into lab-ready builds and beyond.

Key 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 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.

Nice to Have:

• 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.

Joining NVIDIA means working with the most ambitious and dedicated individuals in the industry. If you are ready to make an impact and contribute to our outstanding team, apply now!