Software Engineer, Motion Planning: GPU Optimization

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 Motion Planning 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

• Design metric suites and testing workflows for rapid iteration on algorithms

• Design and implement efficient production-grade software for the Aurora Driver

• Provide technical leadership for the architectural elements of online and offline systems for evaluating good trajectories.

Required Qualifications

• BS, MS, or Ph.D. in Robotics, Machine Learning, Applied Mathematics, Computer Science or a related field

• 8+ years of strong programming and software design skills in C++, especially in low latency or real-time environments

• Expertise with GPU or ML toolkits such as CUDA, PyTorch, TensorFlow, JAX, and/or TensorRT

• Experience in designing, building, and productionizing motion planning algorithms (cost function design, optimization, and sampling-based techniques), state estimation algorithms, or statistical techniques

The base salary range for this position is $168k-$252K 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.

#LI-JL261

#Mid-Senior