Thermal Design Engineer
MetaDevelop physics-based thermal models using programming languages such as MatLAB, Python, or Julia
Support the design, development, and optimization of part, sub-system, and system level design through collaboration with cross-functional teams including mechanical, electrical, and software
Develop part and sub-system thermal and fan models using CFD and CAD tools
Develop and optimize thermal designs while integrating new thermal technologies through partnering with mechanical and electrical engineers
Support sub-system and system-level thermal verification through prototype testing
Support the development of thermal control systems while building prototypes to test on physical HW
B.S. in Mechanical Engineering or equivalent experience
2+ years of experience in thermal design related to server/hardware, advanced packaging, or wearables
Fundamentals in heat transfer, thermal/fluid sciences, or related physics
Background in modeling using CAD and CFD tools, such as Fluent, StarCCM+, FloEFD or similar
Experience in empirical testing and model correlation
Experience in programming with a scripting language such as MatLab, Python, or Julia, to support development of models and automation tools
Experienced in developing consumer-electronics devices or similar field
Experience developing analytical, physics-based thermal models
Familiar with the latest state-of-the art in thermal materials, such as graphite spreaders, aerogels, thermal interface materials, heatpipes, vapor-chambers, and fans
Familiarity with control theory as applied to thermal management systems
M.S. in Mechanical Engineering or equivalent experience
Knowledge and applied applications in statistical analysis to gain insights in the performance of large numbers of devices
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies