AI-powered autonomous yard trucks for logistics
ISEE AI develops AI-driven autonomous driving systems for yard trucks and semi-trucks in commercial logistics environments. Their technology enables fully autonomous operations in industrial yards, improving safety, efficiency, and reliability for supply chain companies like Maersk. Spun out of MIT, it uses humanistic AI to predict behaviors and handle dynamic conditions better than competitors.
Oversees customer operations, deployments, and compliance for autonomous vehicle pilots, POCs, and rollouts. Leads teams in program management, system integration, and strategic customer relations. Requires 5+ years operations experience in logistics/robotics/AV and BS degree.
Assembles and installs electromechanical systems on autonomous vehicles and tractors, configures hardware, performs testing and debugging, and troubleshoots autonomy and base vehicle issues. Requires 2+ years in vehicle repair/maintenance or robot assembly with basic electrical knowledge.
Oversees hardware development for self-driving trucks, from design and testing through production. Owns new projects, writes specs, ensures regulatory compliance, and leads design reviews. Requires 5+ years experience and Mechanical Engineering degree.
Leads and executes embedded software development for safety-critical autonomous vehicle systems including ECUs, sensors, actuators. Requires embedded C proficiency, automotive/robotics experience, and safety system design; prefers 5+ years and Nvidia/Matlab expertise.
Develops and deploys perception algorithms for autonomous driving, focusing on object detection, sensor fusion, localization, and tracking using LiDAR, cameras, and radar. Requires Master's degree and 4+ years non-academic experience in computer vision.
Engineering Technician supports engineers by building, testing, and troubleshooting electromechanical systems for autonomous vehicles, interfacing with conventional automotive vehicles, and assisting in vehicle launches at customer sites. Requires 5+ years experience with electrical/mechanical skills and up to 30% travel.
Develops tools and infrastructure for autonomous vehicle software stack, supporting full SDLC and cross-functional hardware integration. Requires 5+ years experience, expertise in C++/Python, Linux debugging, and system design.
Designs and develops electrical systems for self-driving vehicles, including PCB layouts, schematics, embedded ARM development, and vehicle integration. Requires 5+ years EE experience with wire harnessing and bachelor's/master's in EE.
Develops, simulates, and tests control algorithms for autonomous vehicles, conducts HIL testing and field evaluations, and analyzes vehicle dynamics performance. Requires 5+ years experience, Master's degree, and expertise in MATLAB/Simulink, Python, and Embedded C.
Develops infrastructure for autonomous vehicle software stack, supporting full SDLC and enabling product development/testing. Requires 5+ years experience, expertise in C++/Python, Linux debugging, and system design.
Designs and develops prototype hardware systems for self-driving trucks, including drawings, BOMs, material selection, and supplier interactions. Requires 5+ years experience with CAD tools like Solidworks and production design.
Develops and executes test plans for AV hardware/software, troubleshoots issues, analyzes data using scripts/tools, and collaborates with engineering teams. Requires bachelor's in engineering, experience in systems/vehicle testing, and proficiency in Linux, Python, Matlab.
Designs and develops electrical subsystems including communications protocols, PCB layouts, and safety-critical elements for autonomous vehicle electro-mechanical architecture. Integrates electronics into vehicles and manages production implementation with 10+ years preferred experience.
Leads research in machine learning, robotics, and AI for autonomous systems, including perception, modeling, and inference. Requires PhD in related field, real-world data experience, and publications in top conferences.
Develops, tests, deploys, and maintains software algorithms and infrastructure for robotic arm trailer coupling solutions. Requires hands-on robotics experience, ROS, strong C++/Python skills, and 3+ years industrial deployment experience.