Owns the systems engineering lifecycle for safety-critical ADAS and parking functions, from requirements and safety concepts through verification, validation, and series release. The role requires 4+ years of automotive systems engineering experience and knowledge of driver-assistance regulations and architectures.

Develops embedded firmware for autonomous drones, architecting systems, implementing C++ software for vehicles, integrating sensors, and debugging hardware on Qualcomm/Nvidia SOCs and microcontrollers.

Software Engineer develops system-level solutions and automation for optimizing power usage in large-scale supercomputers supporting AI model training. Requires 7+ years experience in software engineering, Python proficiency, distributed systems, and power management investigations.

Develops perception and sensing systems for autonomous vehicles using computer vision, machine learning, and 3D data processing. Requires 7+ years experience, Master's/PhD, and fluency in C/C++.

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.

Develop state-of-the-art onroad behavior software and planning modules for autonomous vehicles. This role requires expertise in motion planning, C++ programming, and experience deploying software to production hardware for robotics or autonomous vehicles.

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 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.

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.

Develops and implements algorithmic improvements for autonomous robot motion planning to enhance safe driving in complex urban environments. Requires C++ fluency, knowledge of planning techniques like A*, RRTs, PRMs, and real-time algorithm experience.