Behavior Planning Software Engineer

Who we are

Auroras mission is to deliver the benefits of self-driving technology safely quickly and broadly.

The Aurora Driverwill create a new era in mobility and logistics one that will bring a safer more efficient and more accessible future to everyone.

At Aurora you will tackle massively complex problems alongside other passionate intelligent individuals growing as an expert while expanding your knowledge. For the latest news from Aurora visit follow us onLinkedIn.

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. Were searching for aSoftware 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)

The base salary range for this position is $126000 - $201000 per year. Auroras pay ranges are determined by role level and location. Within the range the successful candidates 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