About the job
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer to support and scale efforts for our Behavior Planning Team.
Responsibilities
Develop real-time algorithms for selecting safe and comfortable trajectories for a self-driving vehicle
Integrate motion planning with machine learning to create verifiable AI systems for autonomous driving
Design and implement production-grade software for the Aurora Driver
Design metric suites and testing workflows for rapid iteration on algorithms
Qualifications
Minimum
BS, MS, or Ph.D. in Robotics, Machine Learning, Applied Mathematics, Computer Science or a related field
4+ years of strong programming and software design skills in Python and/or C++, especially in low latency or real-time environments
Experience in designing, building, and productionizing motion planning algorithms (cost function design, optimization, or sampling-based techniques)
Preferred
Expertise with GPU or ML toolkits such as PyTorch, CUDA, TensorFlow, JAX, and/or TensorRT
Expertise in machine learning for robotic/agentic applications (reinforcement learning or imitation learning)