Behavior Planning Software Engineer

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.

In this role, you will:

• 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 and Benefits

The base salary range for this position is $126,000 - $201,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.