Autonomous Driving Intern

Isuzu Technical Center of America is seeking an Autonomous Driving Intern to join its operations in Plymouth, MI.

The selected candidate will be placed with a preferred agency for employment.

Autonomous Driving Intern

Isuzu Technical Center of America (ITCA) is seeking a highly motivated Autonomous Driving Intern to support the Advanced Engineering team in the development, integration, and validation of Level 4 autonomous commercial vehicles and fleet operations. In this role, the intern will contribute to perception, planning, and/or control algorithm development, system integration, and the construction of simulation and end-to-end testing environments. The intern will work closely with Isuzu internal engineering teams and external partners to design, implement, integrate, and evaluate autonomous driving system components, with a focus on system-level interactions across perception, planning, control, and vehicle interfaces.

Responsibilities include supporting algorithm development and integration, assisting with closed-loop simulation and on-road issue analysis, and helping validate system performance in simulation and vehicle testing environments, providing exposure to system thinking, algorithm iteration, and deployment workflows within a collaborative and fast-paced engineering environment.

• (Perception Oriented) Research, develop, and iterate visual perception algorithms for autonomous driving, including object detection, recognition, image segmentation, and occupancy grid (Occupancy). Develop fusion perception algorithms (e.g., occluded-object fusion, parking-space fusion) and continuously improve the visualization and interpretability of perception outputs. (Planning & Control Oriented) Design, develop, and optimize planning and control algorithms, including behavior planning, trajectory planning, and vehicle control, ensuring safety, comfort, and robustness.
• Demonstrate strong system-level thinking, understanding the interactions and dependencies across perception, planning, control, localization, and vehicle interfaces.
• Perform end-to-end system integration and testing, from simulation and SIL/HIL to on-road vehicle testing, to identify, diagnose, and resolve real-world driving issues.
• Lead root-cause analysis of on-road failures, especially in complex or long-tail scenarios, and drive systematic fixes across multiple modules rather than local optimizations.
• Support deployment of autonomous driving systems on real vehicles, continuously improving performance through closed-loop validation and iterative refinement.
• Miscellaneous duties as assigned.

• Reports to:
  
  Manager, Autonomous Driving

• Master’s degree or above in Robotics, Computer Science, Mathematics, Electronic Engineering, or related fields, with extensive experience in autonomous driving algorithm development across perception, planning, and control.
• Expert-level candidates should demonstrate technical leadership and/or publications in top-tier academic conferences.
• 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

• Deep understanding of machine learning, deep learning, motion planning, and control theory, with the ability to reason about system-wide trade-offs.
• Hands-on experience with end-to-end autonomous driving systems, including simulation-based testing, SIL/HIL validation, and on-road debugging.
• Familiarity with planning and control techniques such as state machines, search-based and optimization-based planning, MPC, PID, or related methods.
• Exposure to middleware frameworks like ROS (Robot Operating System)

• Strong proficiency in C++ and Python, with solid foundations in data structures, algorithms, and software engineering best practices.
• Experience with PyTorch, Tensor Flow, and performance optimization using CUDA, TensorRT, or real-time system acceleration is a plus.
• Strong problem-solving mindset, excellent cross-team communication skills, and the ability to independently drive end-to-end issue resolution from field data to production fixes.
• Proficiency in robotics-related software: ROS, ROS2, NVIDIA Isaac Sim, PyTorch, OpenCV
• Proficiency in version control management tool:
  Git Hub
• Valid driver license with good record

The employee must be able to access, enter, and retrieve data using a computer. This is primarily a sedentary position in a…