MOTOR AI

Build and optimize motion-planning algorithms for Level 4 autonomous vehicles, generating safe, comfortable, and efficient trajectories in complex driving conditions. You will validate these systems in simulation and real-world testing while collaborating across the autonomous-driving stack.

Build and optimize machine learning systems that enable safe, real-time Level 4 autonomous driving. You will take models from development and experimentation through production deployment in collaboration with perception, data, and simulation teams.

Lead the technical direction of a Perception & Autonomous Systems team building Level 4 autonomous vehicle technology in Germany. This hands-on role combines architecture leadership with implementation across real-time C++, computer vision, robotics, and machine learning systems.

Integrate and maintain robotics software for Level 4 autonomous mobility, coordinating pull requests, releases, build pipelines, and cross-functional fixes. The role combines ROS2, C++, Linux, hardware-facing software, and deployment infrastructure in a hands-on integration function.

Develop low-level software and integrate sensors for autonomous vehicles, working across embedded systems, networking, vehicle hardware, and in-vehicle testing. This hands-on role helps advance safe Level 4 autonomous driving technology.

Senior DevOps Engineer responsible for developing and operating MOTOR Ai’s hybrid infrastructure supporting autonomous-driving technology. The role combines Kubernetes administration, cloud strategy, automation, monitoring, and technical enablement for development teams.