As a Staff Motor Thermal Engineer, you will lead the thermal architecture and cooling strategy for our next-generation electric drive units. You will be a point of contact for direct-oil cooling systems, bridging the gap between rapid 1D system modeling, high-fidelity 3D CFD, correlating and improving models through testing to ensure the motor achieves thermal performance requirements while meeting reliability and efficiency.
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Develop and maintain end-to-end lubrication & thermal models for EV motor, ranging from 0D, 1D system-level analysis (GT-Suite, Amesim) to 3D CFD (Simerics-MP+, Star-CCM+)
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Lead the design and optimization of direct oil motor cooling, including shaft, rotor, stator, and spray cooling for end-windings
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Define lubrication and thermal requirements for the motor, inverter, and transmission interface
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Design test plans for motor dyno and drive unit validation, perform test, collect and process data, and correlate simulation results with physical hardware to refine modeling accuracy
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Collaborate with a cross-functional team to balance the "Golden Triangle" of motor design: power density, efficiency, and thermal management
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Education: BS, MS or PhD in Mechanical Engineering, Thermal Sciences, or a related field
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7+ years in EV powertrain lubrication and thermal management
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Expert-level of experience in GT-Suite for transient analysis
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Extensive experience in Simerics-MP+ or Star-CCM+, specifically focusing on Volume of Fluid (VOF) or Moving Particle Semi-implicit (MPS) methods for oil splashing
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Deep understanding of convective heat transfer coefficients in rotating machinery and fluid dynamics of dielectric oils
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Experience in multiphase flow and/or free-surface modeling
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Scripting skills in Python or MATLAB for post-processing and workflow automation
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Knowledge with automated optimization (e.g., HEEDS, ModeFRONTIER)
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Experience in lab setup, data collection, and validating thermal and hydraulic designs' performance
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Fundamental knowledge of electric machines, motor mechanical designs, and manufacturing processes
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Self-motivated with the ability to manage multiple tasks while remaining efficient and accurate
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Flexibility and adaptability in a fast-paced and dynamic work environment
