Senior Engineer, Automotive Prognostics and Health Management (PHM)

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

Role Description:

• As a Prognostics and Health Management (PHM) Senior Engineer on the Fleet Health Management (FHM) team, you will develop advanced PHM solutions that eliminate unplanned downtime, optimize maintenance strategies, and drive system-wide improvements across the fleet. 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 combined with data-driven methodologies, and shape the future of health management capabilities that improve vehicle reliability, availability, and customer satisfaction.

Responsibilities: 

• Technical Leadership & Strategy: Develop scalable, robust health management solutions across vehicle platforms, influencing design and serviceability from early-stage concept to deployment.
• Cross-functional Collaboration: Collaborate with engineering, software, data science, service, and operations teams to embed PHM features into vehicle systems and digital infrastructure.
• Advanced Health Model Development: Develop, validate, and deploy advanced fault detection, diagnostic, and prognostic algorithms using statistical and machine learning methods, ensuring scalability, efficiency, and reliability of the models.
• Maintenance Intelligence & Optimization: Drive the development of health assessment tools and maintenance prioritization frameworks that improve uptime and optimize service resource planning.
• Model Performance Monitoring & Continuous Improvement: Establish monitoring pipelines and metrics to assess health model performance post-deployment and identify opportunities for refinement.
• FHM Platform and Framework Evolution: Guide PHM system integration, leveraging inputs from FMEA/FMEDA, diagnostics, and field performance data.
• Innovation and Industry Alignment: Stay at the forefront of PHM technology, Software-Defined Vehicle architectures, and data-driven reliability practices. Apply emerging trends to advance our tools, methodologies, and product capabilities.

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. Must regularly seek and incorporate feedback to ensure alignment with the team’s goal.

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, Monte Carlo simulation.
• Experience with building Digital Twin using physics-based modeling.
• 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.

Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.   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.)Base Pay Range (Annual)$154,000—$211,750 USD

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