Intern, Electrical Machines Testing & Data… at Lucid Motors · Newark

Summary: Lucid Motors is a leader in luxury electric vehicles aiming to redefine the future of mobility. They are seeking a highly motivated Electrical Engineering intern to support the experimental characterization of electrical machines and perform data analysis using MATLAB/Simulink and Python. Responsibilities: - Plan and execute electrical machine characterization tests, including torque‑speed and efficiency mapping - Conduct loss and thermal measurements across operating conditions - Support instrumentation and data acquisition, working with power analyzers, torque sensors, speed sensors, thermocouples/RTDs, and DAQ systems - Ensure data quality through calibration checks, repeatability validation, filtering, and documentation - Develop MATLAB/Simulink and Python scripts for signal processing, data cleaning, visualization, and reporting - Extract key KPIs such as efficiency, loss breakdowns, harmonics/THD, and thermal steady‑state behavior - Assist with surrogate modeling, uncertainty quantification, and ML‑based analytics for performance and loss prediction - Gain experience performing high‑quality electrical machine testing and translating data into engineering insights - Opportunity to build MATLAB and Python toolchains used in production engineering workflows - Exposure to advanced modeling techniques, including surrogate models and uncertainty quantification Required Qualifications: - Strong background in electrical engineering, with focus on electrical machines and drives - Hands‑on experience with electrical machine testing or experimental lab work - Proficiency in MATLAB/Simulink and Python for data analysis and automation Preferred Qualifications: - Familiarity with one or more of the following: Efficiency mapping and loss segregation (copper, iron, mechanical losses) - Frequency‑domain analysis (FFT, harmonic analysis) and sensor calibration - Statistical methods and basic uncertainty estimation - Interest in surrogate modeling, UQ, or ML‑enabled engineering workflows Required Skills: Electrical Engineering, Electrical Machines Testing, Electrical Machine Characterization, Data Analysis, MATLAB, Simulink, Python, Efficiency Mapping, Loss Segregation, Frequency-Domain Analysis, Sensor Calibration, Statistical Methods, Uncertainty Quantification, Machine Learning Internship Start Date: Start in 2026 Summer Benefits: Medical, Dental, Vision, Life insurance, Disability insurance, Vacation, 401k, Equity program, Discretionary annual incentive program