Complex Systems Diagnostics Intern | RoboStruct Technologies · Teeming.ai
RoboStruct Technologies
RoboStruct Technologies builds intelligent robotics systems that improve accuracy, speed, and safety in manufacturing and logistics. It develops collaborative robots and AI-driven mechatronics…
RoboStruct Technologies builds intelligent robotics systems that improve accuracy, speed, and safety in manufacturing and logistics. It develops collaborative robots and AI-driven mechatronics…
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Intern – Systems Diagnostics & Prognostics Engineering (Summer 2026)
We are hiring a
graduate-level engineering intern
to support advanced
vehicle and fleet health monitoring
initiatives. This role sits within a diagnostics-focused engineering team working on predictive analytics, intelligent fault detection, and scalable health management frameworks for next-generation vehicle platforms. Interns will work under the guidance of experienced engineers on real-world engineering problems.
Key Responsibilities
Support the design and enhancement of
Vehicle and Fleet Health Management (VHM/FHM)
systems
Assist in developing system-level health models using telemetry data, design inputs, and diagnostic software
Apply
machine learning techniques
to detect anomalies, predict failures, and identify root causes
Help build and maintain scalable diagnostic knowledge structures across vehicle platforms and configurations
Explore
knowledge graphs and language models
to improve fault reasoning, automation, and explainability
Collaborate with system architects and domain experts to convert engineering insights into usable diagnostic logic
Candidate Profile
Currently enrolled in a
Master’s or PhD program
(Electrical, Mechanical, or related engineering discipline)
Compensation
💰
$50–$70 per hour
About Us
We are a global HR consultancy that connects skilled professionals with leading organizations using an
AI-driven candidate evaluation platform
. Our services support internships, projects, and full-time opportunities across industries worldwide.
Application progression is subject to resume evaluation by our recruitment specialists using our AI screening system.
Strong grounding in
systems engineering or vehicle architecture
Hands-on experience withPython
, data analysis, and ML (especially time-series or anomaly detection)
Understanding of
Prognostics & Health Management (PHM)
concepts
Exposure to telemetry systems, signal processing, or embedded diagnostics is a plus
Familiarity with
knowledge graphs, LLMs, or generative AI
is advantageous
Clear communicator with the ability to work both independently and in team settings