Description
The role leads end-to-end deployment of autonomous systems in customer environments, including configuration, testing, troubleshooting, reliability monitoring, and customer enablement. It also partners with product, software, hardware, and AI research teams to translate field insights into system improvements and scalable deployment practices. The position requires a master’s degree or equivalent practical experience in a relevant technical field, 2–3 years of software engineering or systems integration experience in field robotics, and proficiency with Python, C++, Git, ROS, Linux, containerization, and cloud infrastructure.
