Behavior Planning Software Engineer

Aurora InnovationSan Francisco, CA
$126,000 - $201,000

About The Position

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

Requirements

  • 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)

Nice To Haves

  • 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)

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
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