MOTOR AI

Develop motion-planning algorithms that enable safe, comfortable, and efficient trajectories for Level 4 autonomous vehicles. You will validate these systems in simulation and on real-world data while collaborating across the autonomous-driving stack.

Build and deploy machine learning systems that enable safe, real-time autonomous driving at Level 4. This hands-on role combines model development, experimentation, optimization, and production integration across a multidisciplinary autonomy team.

Lead the technical direction of a hands-on Perception & Autonomous Systems team building Level 4 autonomous driving technology. You will shape real-time C++ architecture, computer vision pipelines, machine learning deployment, and autonomous vehicle software while contributing directly to implementation.

Join an autonomous mobility team as a Robotics Software Integration Engineer, coordinating code integration and release workflows for Level 4 robotics software. You will review critical changes, maintain build pipelines, and resolve integration issues across sensor interfaces, ROS2 packages, middleware, and deployment infrastructure.

Sensor Integration Engineer developing and integrating low-level software for autonomous vehicle sensor suites. The role combines embedded Linux development, vehicle hardware/software integration, networking, and in-vehicle testing.

Senior DevOps Engineer responsible for building and operating MOTOR Ai’s hybrid infrastructure for autonomous-driving systems. The role centers on Kubernetes, cloud platforms, infrastructure automation, observability, and enabling development teams.