Senior Engineer – Automotive Prognostics and Health Management Lucid Motors

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.

Location:

Newark, CA OR Phoenix, AZ OR Southfield, MI – 5 Days Per Week Onsite