AI Enabled In-Cabin Cockpit Intern

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.

AI‑Enabled In‑Cabin Product Intern (Cockpit Product Line)

• Support development, prototyping, and validation of AI in‑cabin features (driver monitoring, occupant sensing, personalization, cabin intelligence signals).
• Integrate and test Edge AI models (vision, audio, sensor fusion) on cockpit compute platforms using modern tool chains (e.g., ONNX, Tensor
  
  RT, PyTorch).
• Collect, label, and process in‑cabin sensor datasets (RGB, IR, ToF, audio) to support model training and algorithm evaluation.
• Conduct benchmarking of AI models for latency, accuracy, robustness, and power efficiency on embedded hardware.
• Prepare test plans, run experiments, analyze model outputs, and document findings to support engineering reviews.
• Work cross‑functionally with Cockpit hardware, software, UX, and system engineering teams to validate user‑facing AI behaviors.
• Contribute to internal reports, demos, and technical presentations highlighting model performance and insights.

• Hands‑on experience developing AI‑driven in‑cabin features used in next‑generation cockpit platforms.
• Exposure to state of the art AI frameworks, tool chains, and embedded inference engines.
• Experience working with multimodal sensor data, dataset preprocessing, annotation tools, and evaluation pipelines.
• Opportunity to collaborate with global engineering teams and contribute to customer‑facing prototypes.
• Real‑world understanding of how AI impacts safety, comfort, and personalization in automotive environments.

• Education:
  
  Pursuing a Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, Computer Science, AI/ML, or a related field.
• Knowledge:
  Understanding of neural networks, computer vision, or signal processing; familiarity with AI model life cycle.
• Tools:
  Experience or coursework with Python, PyTorch/Tensor Flow, OpenCV, or embedded AI tool chains (e.g., ONNX Runtime, Tensor
  
  RT, OpenVINO).
• Skills:
  
  Strong analytical and debugging skills; ability to work with datasets and evaluate model outputs.
• Communication:
  Excellent documentation, collaboration, and communication skills.

This position will be based at Visteon’s Headquarters in Van Buren Township, Michigan (GLCC). It is a 40‑hour per week, 12‑week internship (14–22 weeks, with 22 weeks preferred).