Intern, Electrical Machines Testing & Data Analytics, Summer 2026

Role Overview

You Will:

• 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

You Bring:

• 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
• 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

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

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