Intern, Complex Systems Diagnostics and Prognostics Design, Summer 2026
Position Title: Intern, Complex Systems Diagnostics and Prognostics Design, Summer 2026
Summary:
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). It is a strategic
initiative focused on predictive diagnostics and intelligent fault management across vehicle
platforms. As well as other related duties under the mentorship of senior engineers.
Essential Duties & 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.
Required 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.
Field(s) of study: Electrical, Mechanical 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 the next program (MS, PhD).
● Experience with vehicle telemetry systems or signal processing.
● Familiarity with LLMs or generative AI frameworks.
● Exposure to semantic modeling or ontology development.
Compensation:
The compensation for this role is $50.00–$70.00 / hr.
Who We Are:
We are an internationally recognized HR consultancy firm helping candidates match with the
potential roles by using an Artificial Intelligence System which is free of cost. We are a global
market leader who works with several top-tier companies, tech startups, freelancers, industry
professionals, and subject matter experts for projects, internships, and jobs.
Important: The successful application submission for the above role(s) will be conditional to
your profile evaluation by our Recruitment Specialists using the AI system. We can let you know
better once you submit your resume.
Apply Now
Apply Now
Summary:
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). It is a strategic
initiative focused on predictive diagnostics and intelligent fault management across vehicle
platforms. As well as other related duties under the mentorship of senior engineers.
Essential Duties & 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.
Required 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.
Field(s) of study: Electrical, Mechanical 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 the next program (MS, PhD).
● Experience with vehicle telemetry systems or signal processing.
● Familiarity with LLMs or generative AI frameworks.
● Exposure to semantic modeling or ontology development.
Compensation:
The compensation for this role is $50.00–$70.00 / hr.
Who We Are:
We are an internationally recognized HR consultancy firm helping candidates match with the
potential roles by using an Artificial Intelligence System which is free of cost. We are a global
market leader who works with several top-tier companies, tech startups, freelancers, industry
professionals, and subject matter experts for projects, internships, and jobs.
Important: The successful application submission for the above role(s) will be conditional to
your profile evaluation by our Recruitment Specialists using the AI system. We can let you know
better once you submit your resume.
Apply Now
Apply Now