Intern, Complex Systems Diagnostics and Prognostics Design, Summer 2026 jobs in United States
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Synerga Partners · 9 hours ago

Intern, Complex Systems Diagnostics and Prognostics Design, Summer 2026

Synerga Partners is an internationally recognized HR consultancy firm, and they are seeking a highly motivated and detail-oriented summer intern to join their Fleet Health Management and Remote Diagnostics team. The intern will contribute to the development of a unified framework for Vehicle and Fleet Health Management, focusing on predictive diagnostics and intelligent fault management across vehicle platforms.

Hiring Manager
Kamal ul din
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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

Qualification

AI/ML techniquesSystems engineeringData analysisPython programmingPrognosticsHealth ManagementKnowledge representationVehicle telemetry systemsField of studyExposure to LLMsSemantic modelingCommunicationTeam collaboration

Required

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

Company

Synerga Partners

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Synerga Partners is a people-centered consulting firm that helps businesses strengthen their foundations and grow strategically.

Funding

Current Stage
Early Stage
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