Mechanical Engineer designing products for precast concrete infrastructure. Collaborating with teams to improve product standards and performance in a global organization.
About the role
- Thermal Solutions Development Engineer collaborating with teams to drive thermal solution innovation for NVIDIA's next-gen products. Focusing on AI-enabled processes and cross-functional partnerships for product delivery.
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.
Benefits
- Equity
- Benefits
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