Prognostics Design Summer Intern 2026

Test Intern – Hardware / Firmware

As a Test Intern, you will collaborate closely with engineers and industry experts to design, develop, and test hardware and firmware solutions that enhance industrial operations. This role offers hands-on experience, meaningful technical contributions, and broad exposure to how the business operates and delivers Connected Enterprise solutions to customers.

Internship Focus Areas

Hardware Test

Develop test requirements and execute hardware verification and validation plans

Perform board-level functional testing, EMC validation, and compliance testing with certification agencies (UL, ATEX, IECEx)

Support Functional Safety testing in accordance with IEC 61508 standards

Program, analyze, and troubleshoot electronic hardware prototypes

Contribute to product design documentation and detailed test reports

Firmware Test

Design and develop scripts to automate test procedures

Document and execute manual and automated test cases to verify product functionality

Generate and maintain test reports

Support lab audits and continuous improvement initiatives

Assist with building and commissioning test firmware and hardware platforms

Qualifications & Skills

Currently pursuing a bachelor's or advanced degree in Electrical Engineering or a related field from an accredited institution

Basic programming experience in one or more of the following: C++, C#, Java, Python, JavaScript, or LabVIEW

Fundamental understanding of circuit theory, including microprocessors, digital logic, analog circuits, DC power conversion, and programmable devices (CPLDs, FPGAs)

Exposure to power electronics and/or motor systems

Experience using design capture tools and interpreting schematic diagrams

Familiarity with tools such as CAD software, Creo Parametric, ERP systems, 3D modeling tools, SAP, and MATLAB

Exposure to industrial automation environments, including PLCs or drive programming

Understanding or experience working within Agile development methodologies

Compensation

Hourly pay range: $22–$32, based on experience and qualifications

Application Process

We are an HR consultancy that uses a free AI-driven system to help candidates match with suitable roles. If you meet the eligibility criteria, we encourage you to apply. Once you submit your resume, our recruitment team will assess your profile, highlight your strengths, and help guide your career strategy.

If you want, I can also make this shorter, more technical, or more student-friendly depending on where you plan to post it.

You said:

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 anPosition 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.d 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.

Rephrase it and make it a linkedin job description

ChatGPT said:

Here's a clean, professional LinkedIn-style job description, rephrased for clarity, impact, and readability while keeping it attractive to graduate-level candidates:

Intern, Complex Systems Diagnostics & Prognostics Design (Summer 2026)

We are looking for a highly motivated and detail-oriented Summer Intern to join the Fleet Health Management and Remote Diagnostics team. In this role, you will support the development of a unified Vehicle and Fleet Health Management (VHM/FHM) framework—a strategic initiative focused on predictive diagnostics, intelligent fault management, and system-level health monitoring across vehicle platforms.

Working under the mentorship of senior engineers and system architects, you will gain hands-on experience applying AI/ML techniques, systems engineering principles, and advanced diagnostics methodologies to real-world automotive systems.

Key Responsibilities

Contribute to Fleet Health Management (FHM) and Prognostics and Health Management (PHM) initiatives

Support the development of a scalable, unified framework for monitoring vehicle health across individual vehicles and entire fleets

Develop system health models representing the condition of vehicle components, subsystems, and full systems using telemetry data, engineering inputs, and software diagnostics

Build and maintain a flexible diagnostic knowledge base integrating vehicle architecture, hardware, and software across multiple trims and vehicle platforms

Apply AI/ML techniques for early failure detection, fault isolation, root-cause analysis, and mitigation strategy recommendations

Explore knowledge graphs and large language models (LLMs) to enhance fault reasoning, automate diagnostic logic generation, and improve explainability and scalability

Collaborate with system architects and technical specialists to translate engineering knowledge into actionable diagnostic and prognostic models

Required Qualifications

Strong understanding of AI/ML techniques applied to Prognostics and Health Management (PHM)

Solid foundation in systems engineering or vehicle architecture

Experience with data analysis and machine learning, particularly time-series data and anomaly detection

Familiarity with PHM concepts and diagnostic methodologies

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 both independently and collaboratively in a team environment

Preferred Qualifications

Experience with vehicle telemetry systems or signal processing

Familiarity with LLMs or generative AI frameworks

Exposure to semantic modeling or ontology development

Education

Currently enrolled in a Master's or PhD program in Electrical Engineering, Mechanical Engineering, or a related field

Proof of enrollment in a current or upcoming graduate program (MS or PhD)

Compensation

$50.00 – $70.00 per hour, based on qualifications and experience

About Us

We are an internationally recognized HR consultancy firm that helps candidates connect with top-tier companies, tech startups, and global organizations. Using our AI-driven recruitment system (free of cost), we evaluate candidate profiles to identify strong matches for internships, projects, and full-time roles worldwide.