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AI Enabled Autonomous Systems Intern

Visteon Corporation -
Van Buren, MI

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Job Details

Full-time | Internship

Qualifications

AI models
Rapid prototyping
TensorFlow
Experimental data reports
Performance tuning
Content creation for technical audiences
Human-machine interface (HMI) systems
PyTorch
Technical documentation
Software deployment
System performance optimization
System design
AI platforms (beyond public GPTs)
Computational framework
System design for system development
Analysis skills
Machine intelligence
Model deployment
Design engineering
Prototype creation
Computer Engineering
Improving predictive model accuracy
OpenCV
Experimental design
Engineering product development
Model training
Metadata
Benchmarking
Machine learning libraries
Electrical Engineering

Full Job Description

Job Description

Visteon is advancing mobility through innovative technology solutions that enable a software-defined future. Our state-of-the-art product portfolio merges digital cockpit innovations, advanced displays, AI-enhanced software solutions, and integrated EV architecture solutions. With expertise spanning passenger vehicles, commercial transportation, and two-wheelers, Visteon partners with global automakers to create safer, cleaner, and more connected journeys. Headquartered in Van Buren Township, Michigan, Visteon operates in 17 countries, employing a global network of innovation centers and manufacturing facilities. In 2024, we recorded annual sales of approximately $3.87 billion and secured $6.1 billion in new business.

What You’ll Do in This Role:

Visteon is seeking an intern to join the Cockpit Product Line supporting development of AI enabled autonomous and ADAS related cockpit intelligence. In this role, you will:

Support the design, development, and rapid prototyping of AI/ML models that enhance autonomous‑ready cockpit functions, including perception‑driven cues, driver readiness and handoff assessment, driver state understanding, and situational awareness modeling.
Collaborate with system and platform architects to integrate lightweight Edge‑AI models into next‑generation cockpit compute platforms, enabling real‑time interaction layers for autonomous and semi‑autonomous driving experiences.
Execute end‑to‑end model development pipelines, including dataset preparation, training, hyperparameter tuning, validation, and performance optimization using state‑of‑the‑art AI frameworks.
Analyze multimodal automotive datasets (camera streams, radar metadata, CAN/Ethernet vehicle signals, driver monitoring outputs, and vehicle state information) to generate labels, evaluate model quality, and extract actionable insights that support autonomous behavior reasoning.
Benchmark and validate AI model performance against real‑time automotive constraints—latency, determinism, compute efficiency, thermal limits, memory footprint, and in‑vehicle reliability requirements.
Support development of proof‑of‑concept features showcasing intelligent cockpit‑autonomy collaboration, including driver takeover readiness assessment, adaptive HMI based on environmental conditions, predictive alerts, and proactive safety experiences.
Prepare well‑structured technical documentation, including experiment results, model evaluation summaries, architecture notes, and demo reports for internal engineering teams and customer‑facing reviews.

What’s In It for You:

Experience with AI models that interface with Autonomous systems.
Exposure to real-time embedded inference and safety-critical design considerations.
Opportunity to work with global teams at the intersection of cockpit, ADAS, and autonomy.
Hands-on experience with multimodal data and scenario modeling used in autonomous interaction.
Experience contributing to innovative prototypes shaping the future of autonomous-ready cockpits.

What You’ll Bring:

Education: Pursuing a Bachelor’s or Master’s in Computer Engineering, Electrical Engineering, Robotics, AI/ML, or related field.
Knowledge: Coursework or project experience in perception, sensor fusion, ADAS/AV systems, or machine learning.
Tools: Familiarity with Python, PyTorch/TensorFlow, ROS, OpenCV, AI compilers/deployment tools (TensorRT/ONNX).
Skills: Strong analytical thinking, experimental rigor, and comfort working with real-time data and embedded platforms.
Communication: Strong documentation, communication, and cross-functional teamwork skills.

Where You Will Work: This position will be based at Visteon’s Headquarters in Van Buren Township Michigan, GLCC, 40 hours per week for 12 weeks (14-22 weeks. 22 weeks preferred).

Job Snapshot

Updated Date

08-Apr-2026

Job ID

J10726

Job Discipline

Internship

Location

Grace Lake Corp Center, Van Buren Twp, Michigan, United States

Employee Type

Non FTE

Employee Subtype

Student

Apply Now

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data science intern jobs in van buren, mi

AI Enabled Autonomous Systems Intern

Machine Learning Engineering Intern

AI Engineer - Intern

Intern, Procurement and Supply Chain

OBD Certification & Compliance Intern

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