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Behavior Planning Software Engineer

Aurora InnovationSan Francisco, California
On-site Full-time $126K/yr - $201K/yr

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Experience Level

Mid to Senior

Qualifications

Required Qualifications:Bachelor's, Master's, or Ph. D. in Robotics, Machine Learning, Applied Mathematics, Computer Science, or a related discipline.4+ years of robust programming and software design experience in Python and/or C++, particularly in low-latency or real-time environments. Proven experience in designing, developing, and deploying motion planning algorithms (including cost function design, optimization, or sampling-based techniques).

About the job

Who We Are

Aurora is dedicated to advancing self-driving technology, ensuring its safe, rapid, and widespread deployment.


The Aurora Driver is set to usher in a new era of mobility and logistics, fostering a safer, more efficient, and accessible future for everyone.

 

Join us at Aurora, where you will engage with complex challenges alongside passionate and intelligent colleagues, enhancing your expertise as you broaden your knowledge. For the latest updates, visit aurora.tech or connect with us on LinkedIn.

 

Aurora seeks talented individuals from diverse backgrounds who are eager to contribute to building a safer transportation ecosystem. We are currently looking for a Software Engineer to join our Behavior Planning Team and further our mission.

In this role, you will:

  • Develop real-time algorithms to determine safe and comfortable trajectories for self-driving vehicles.
  • Integrate motion planning with machine learning to design verifiable AI systems for autonomous driving.
  • Design and implement production-quality software for the Aurora Driver.
  • Create testing workflows and metric suites for rapid algorithm iteration.

About Aurora Innovation

Aurora is at the forefront of self-driving technology, committed to making autonomous mobility a reality that benefits everyone. We believe in leveraging innovation to create safer roads and more efficient logistics, ultimately improving accessibility for all.

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