Automotive Engineering

Position Overview

Join Lucid Motors and Lead the Future of Luxury Electric Vehicles. At Lucid Motors, we are redefining luxury electric vehicles by returning to the fundamentals of great design. Every decision serves both the individual and the environment, allowing us to create unique, personalized experiences.

Become a part of our Fleet Health Management team—dedicated to reducing vehicle downtime, improving reliability and performance, and optimizing engineering and design through predictive analytics. As a PHM Senior Engineer on the Fleet Health Management team, you will develop advanced PHM solutions that eliminate unplanned downtime, optimize maintenance strategies, and drive system-wide improvements. You will own the design, deployment, and performance monitoring of health models for Software-Defined Vehicles (SDVs), working closely with cross-functional teams to integrate PHM strategies into vehicle platforms and service operations.

This role offers the opportunity to lead technical initiatives, apply reliability principles with data-driven methodologies, and shape the future of health management capabilities that improve vehicle reliability, availability, and customer satisfaction.

Additional Note: There are multiple openings within the FHM team for different roles and seniority levels. Visit our website for a full list of current and active openings.

Key Responsibilities

• Develop advanced PHM solutions that eliminate unplanned downtime.
• Optimize maintenance strategies and drive system-wide improvements.
• Design, deploy, and monitor performance of health models for Software-Defined Vehicles (SDVs).
• Collaborate with cross-functional teams to integrate PHM strategies into vehicle platforms and service operations.
• Lead technical initiatives using data-driven methodologies to enhance vehicle reliability and availability.

Required Qualifications

• Bachelor’s or Master’s degree in Electrical, Mechanical Engineering, Computer Science, or related fields.
• 5+ years of experience in PHM, reliability engineering, diagnostics, or related areas.
• Proficiency in Python, SQL, and Git with strong data analysis and statistical modeling skills.
• Hands-on experience with machine learning for predictive maintenance or reliability forecasting.
• Experience developing and deploying ML models in edge or cloud environments.
• Deep understanding of system reliability principles and failure analysis techniques.
• Strong verbal and written communication skills for documenting and reporting to leadership.
• One Team Mentality: Must be a self-starter, capable of independently identifying and pursuing opportunities to advance the team’s vision, while regularly seeking and incorporating feedback to ensure alignment with team goals.

Preferred Qualifications

• Familiarity with automotive standards, vehicle dynamics, and telematics data.
• Exposure to Machine Learning Operations (MLOps) and scalable deployment practices.
• Experience with Bayesian networks or probabilistic modeling.
• Experience with uncertainty quantification techniques, such as Bayesian Inference and Monte Carlo simulation.
• Experience with building Digital Twin models using physics-based simulation.
• Knowledge of automotive diagnostics, FMEA/FMEDA methodologies, and embedded system design.
• Experience with C++ and software integration for real-time systems.
• Experience with requirements management tools such as JAMA and Caemo.
• Familiarity with Software-Defined Vehicle architectures and service operations integration.