Behavior Planning Software Engineer

Software Engineer – Behavior Planning Team We are looking 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 Required Qualifications 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) Desirable Qualifications 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) Compensation & Benefits Base salary range: $126,000–$201,000 per year. Successful candidates will also be eligible for an annual bonus, equity compensation, and benefits. Work Setting Hybrid work environment: Aurorans work at the office at least 3 days per week. Aurora considers candidates without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran or military status, or any other protected category in accordance with federal and state law. #J-18808-Ljbffr