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CFD & Thermal Management CAE Specialist

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Pentangle Tech Services | P5 Group
Full Time position
Listed on 2026-02-16
Job specializations:
  • Engineering
    Electrical Engineering, Energy Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Develop and implement thermal management strategies for high-power components, including batteries, inverters, electric motors, and power electronics, using tools such as ANSYS, GT-SUITE, and STAR-CCM+.

• Conduct thermal simulations to evaluate and enhance the performance of cooling and heating systems under different operating conditions, such as high-speed driving, rapid acceleration, and charging.

• Collaborate with powertrain, electrical, and control teams to integrate thermal management solutions into overall vehicle design, ensuring compatibility and efficiency.

• Analyze heat transfer and cooling requirements, assessing the effectiveness of components like radiators, heat exchangers, and HVAC systems to maintain optimal operating temperatures, in electric and hybrid vehicle applications.

• Optimize battery thermal management to ensure consistent performance, prolong battery life, and enhance vehicle range under various environmental conditions.

• Validate thermal models against real-world data by conducting physical tests under different load and environmental conditions, adjusting simulation parameters as needed to improve accuracy.

• Document thermal analysis results, preparing detailed reports with recommendations for design improvements to enhance cooling efficiency and component reliability.

• Research and implement advanced cooling technologies, such as phase change materials, liquid cooling systems, and thermal insulation, to improve overall vehicle thermal performance.

• Proficiency in thermal simulation tools like ANSYS, GT-SUITE, and STAR-CCM+.

• Use expertise to correlate virtual to physical. Sign-off virtual performance based on simulation models.

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