Software Engineer, Behavior Planning

Who we are

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

The Aurora Driver will 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 aurora.tech or follow us on LinkedIn.

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 join 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 and implement production-grade software for the Aurora Driver


• Analyze large-scale real-world data to train and evaluate machine learning models and improve data pipelines supporting algorithm development.


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

 Required Qualifications

• BS, MS, or PhD in Robotics, Machine Learning, Applied Mathematics, Computer Science or related field


• 4+ years of applied industry experience programming and designing software in C++, especially in low latency or real-time environments


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

Desirable Qualifications

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


• Experience delivering solutions in robotics applications to production.

The base salary range for this position is $126,000 - $181,500 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.

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