Intern – Complex Systems Diagnostics and Prognostics Design

We are seeking a highly motivated and detail-oriented summer intern to join our Fleet Health Management and Remote Diagnostics team. As an intern you will contribute to the development of a unified framework for Vehicle and Fleet Health Management (VHM/FHM)—a strategic initiative at Lucid focused on predictive diagnostics and intelligent fault management across vehicle platforms. As well as other related duties under the mentorship of senior engineers. 

Role/Responsibilities:

• Contribute to Lucid’s Fleet Health Management (FHM) and Prognostics and Health Management (PHM) initiatives 

• Advance the development of a unified framework for monitoring and managing vehicle health across individual vehicles and entire fleets

• System Health Modeling: Developing models that represent the health of vehicle components, subsystems, and full systems using telemetry data, engineering design inputs, and software diagnostics

• Knowledge Base Development: Building a flexible and scalable diagnostic knowledge base that integrates vehicle architecture, hardware, and software—designed to support multiple trims and vehicle types

• AI/ML-Driven Fault Detection: Applying machine learning techniques to identify early signs of failure, isolate root causes, and recommend mitigation strategies before issues escalate

• Knowledge Graph & LLM Integration: Exploring the use of knowledge graphs and large language models to enhance fault reasoning, automate diagnostic logic generation, and improve explainability and scalability of health management systems

• Build a flexible and scalable knowledge base that integrates vehicle architecture, hardware, and software—designed to be applicable across multiple trims and vehicle types

• Work closely with technical specialists and system architects to translate engineering knowledge into actionable diagnostic & prognostic models

Preferred Qualifications:

• Strong understanding of AI/ML techniques in the domain of Prognostics and Health Management (PHM), with emphasis on early failure detection, fault isolation, and mitigation strategies

• Strong foundation in systems engineering or vehicle architecture

• Experience with data analysis and machine learning (especially time-series and anomaly detection)

• Familiarity with Prognostics and Health Management (PHM) concepts

• Exposure to knowledge representation techniques such as knowledge graphs

• Proficiency in Python or similar programming languages with relevant AI/ML libraries

• Excellent written and verbal communication skills

• Ability to work independently and collaboratively in a team environment

Education:

Field(s) of study: Artificial Intelligence, Electrical, Reliability, Mechanical, Computer, Control or Automotive Engineering, or a related field

• Currently enrolled in a Master’s or PhD degree program at an accredited university.

• Proof of enrollment in current or into next program (MS, PhD)

Nice to have:

• Experience with vehicle telemetry systems or signal processing

• Familiarity with LLMs or generative AI frameworks

• Exposure to semantic modeling or ontology development

Program Information:

• Timing: May- August, or June-September pending class schedules. 

• Duration of Internship: Our internship program is 12 weeks; the end date is flexible based on individual needs.

• Work Location & Environment: This position will be in Newark, CA, and is fully in-person. You must be prepared to start onsite for your first day of employment. The working environment will be a mix of lab and office work.

• Compensation: Student compensation is based on location and current degree level, non-negotiable ranging from $50 to $70.

• Relocation: May be provided on a case to case basis. 

• Housing/Transportation: You must provide your own living arrangements and transportation in the local area.  

• Background Check: All offers of employment are contingent on clearing a background check. 

• Drug Screening: All offers of employment are contingent on passing a drug screen. 

• Medical benefits: Dental, vision, and medical on day 1 for all interns working full-time.

• Visa Sponsorship: Lucid may but is not obligated to sponsor foreign national employees requiring company sponsorship for U.S employment authorization.