Real-Time Behavior Planning Engineer (Autonomous Driving)

Aurora; Mountain View (CA); Hybrid; USD 139,000 - 223,000; Full time

Job summary

Aurora in Mountain View is seeking a Software Engineer to support the Behavior Planning Team, building real-time trajectory algorithms and production-grade software for the Aurora Driver.

Candidates have 4+ years in Python and/or C++, with motion planning experience and comfort working in low-latency environments. This role follows a hybrid work model with in-office presence required at least 3 days per week.

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).

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.

Skills

Python

C++

Real‑time programming

Motion planning

Education

BS/MS/PhD in Robotics/ML/Applied Math/CS

Tools

PyTorch

CUDA

TensorFlow

JAX

TensorRT

Job description

Aurora in Mountain View is seeking a Software Engineer to support the Behavior Planning Team, building real-time trajectory algorithms and production-grade software for the Aurora Driver.

Candidates have 4+ years in Python and/or C++, with motion planning experience and comfort working in low-latency environments. This role follows a hybrid work model with in-office presence required at least 3 days per week.