AI Enabled Autonomous Systems Intern

Overview

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.

• 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.

• 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.

• 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/Tensor Flow, ROS, OpenCV, AI compilers/deployment tools (Tensor
  
  RT/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.

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).