Advanced Engineering & Research Intern
About The Position
Isuzu Technical Center of America is seeking an Advanced Engineering & Research Intern to join its operations in Plymouth, MI, for Summer/Fall 2026. The selected candidate will be placed with a preferred agency for employment. The intern will support advanced engineering and research for Level 4 autonomous driving by developing, evaluating, and applying multimodal AI models - including vision-language models (VLMs), vision-language-action models (VLAs), large language models (LLMs), and world models - for data triage, autonomous driving system development, simulation, and verification and validation (V&V). This role involves close collaboration with Isuzu U.S. and Japan teams, autonomous driving partners, and research institutes to build AI-assisted workflows for mining on-road data, identifying edge cases, generating and curating scenarios, analyzing perception/prediction/planning behavior, and improving simulation-based safety evaluation. The position operates at the intersection of vehicle engineering, robotics, machine learning, data engineering, and safety assurance, with tasks of increasing complexity throughout the internship.
Requirements
- Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Engineering, Computer Science, Data Science, Robotics, Artificial Intelligence/Machine Learning, or a related field
- Foundational understanding of data analysis, statistics, ML/DL/RL, model evaluation, and data curation for large-scale multimodal datasets
- Proficiency in Python
- Strong analytical, research, and problem-solving skills
- Ability to evaluate and document AI model behavior, limitations, safety implications, and V&V results
- Effective communication; ability to work independently and collaboratively across U.S. and Japan teams
- Access, enter, and retrieve data using a computer.
Nice To Haves
- Academic focus or coursework in autonomous systems, ML/DL/RL, VLMs, VLAs, LLMs, generative AI, world models, computer vision, sensor fusion, vehicle dynamics, simulation, or V&V
- Prior internship, research, or project experience with multimodal data, LLM/VLM evaluation, simulation, autonomous driving/robotics, or automotive systems
- Strong academic standing (e.g., minimum 3.0 GPA or equivalent recommended, 3.5+ preferred)
- Basic knowledge of autonomous driving architecture, vehicle sensors, data logs, scenario-based testing, simulation V&V, and vehicle safety systems
- Familiarity with C++, Linux, Git, SQL, or data pipeline tools
- Familiarity with ML and simulation tools (e.g., PyTorch, Hugging Face, OpenCV, ROS/ROS 2, CARLA, Simulink, or equivalent)
Responsibilities
- Researches, prototypes, and evaluates VLM, VLA, LLM, and world model approaches for automated data triage, semantic scene understanding, edge-case discovery, and autonomous vehicle safety analysis.
- Analyzes multimodal on-road and simulation data (camera, LiDAR, radar, GPS/IMU, CAN, and system logs) to identify safety trends, model failure modes, and data-quality gaps.
- Supports scenario mining, generation, and simulation V&V workflows to test autonomous driving perception, prediction, planning, and control behavior.
- Collaborates with engineers to integrate AI model outputs into autonomous driving development tools, metrics, dashboards, and simulation pipelines.
- Prepares and communicates technical findings, experiment results, and recommended next steps to teams across the U.S. and Japan.
- Performs miscellaneous job-related duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
