Isuzu Technical Center of America (ITCA) is seeking an AI & Autonomous Intern to support the development and integration of an autonomous logistics hub for Level 4 autonomous driving commercial vehicle operations.
Requirements
- Basics of robotics, including localization, planning, perception, and control
- Knowledge of autonomous vehicle system architectures, particularly modules related to planning and decision-making
- Exposure to middleware frameworks like ROS (Robot Operating System)
- Familiarity with simulation platforms, preferably NVIDIA Isaac Sim or similar robotics simulation tools
- Knowledge of optimization and AI-based path planning or decision-making algorithms
- Proficiency in programming languages: C++, Python, and MATLAB/Simulink/ Stateflow
- Proficiency in robotics-related software: ROS, ROS2, NVIDIA Isaac Sim, PyTorch, OpenCV
Responsibilities
- Designs and implements core algorithms for scheduling, task assignment and multi-agent trajectory planning.
- Develops AI-enabled optimization and decision-making modules that coordinate multiple autonomous vehicles within the logistics hub.
- Conducts performance analysis using simulation data and identify opportunities for algorithm improvement.
- Develops and maintains a digital-twin simulation environment of the autonomous logistics hub.
- Creates and configures assets, environments, and behavioral scenarios that accurately represent real-world hub operations.
- Supports simulation-based validation by creating test cases that evaluate multi-agent operations.
- Supports system integration with ROS2 middleware.
Other
- Pursuing a Master’s degree in Robotics Engineering with a focus on robotics or autonomous driving
- Candidates must have a GPA of 3.6 or higher on a 4.0 scale
- Prior industry experience in robotics or autonomous driving is preferred
- Proficiency in project & issue tracking tool: JIRA, Confluence
- Proficiency in version control management tool: GitHub
