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Software Engineer - Fail Operational Planning

Develop algorithmic advancements to expand the robot's ability to drive in complex scenarios.
San Francisco Bay Area
Senior
$165,000 - 264,000 USD / year
1 month ago
Zoox

Zoox

Developing autonomous mobility solutions with an aim to improve urban transportation.

✨ About The Role

- Contribute to the next generation of algorithmic advancements to expand the robot's ability to drive in complex scenarios - Collaborate cross-functionally to identify failure modes of the system and develop strategies to mitigate performance degradation - Architect and implement scalable solutions ensuring seamless integration with the driving stack - Partner with validation teams to define and execute tests for developed algorithms

âš¡ Requirements

- Experienced software engineer with a Master's degree in Computer Science or related field - Proficient in C++ with extensive experience in programming and algorithm design - Strong understanding of vehicle kinematics and 3+ years of experience in a related field - Ability to create real-time motion planning algorithms in a cross-functional team - Excited to work on cutting-edge problems and contribute to algorithmic advancements in autonomous driving technology
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Software Engineer - Fail Operational Planning
San Francisco Bay Area
$165,000 - 264,000 USD / year
Software
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About Zoox
Developing autonomous mobility solutions with an aim to improve urban transportation.