Zoox
Software Engineer - Driving Behavior
Hybrid · Foster City, CA
This hybrid role accepts applicants from: United States.
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About the role
In this role, you will:
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Design behavioral and motion planning algorithms to improve driving behavior in new geofences and implement those designs in our code base.
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Adapt existing algorithms and software modules for autonomous driving in new geofences.
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Integrate and test your developed applications in the robot, learn, and make improvements.
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Work collaboratively with cross-functional teams to support the integration and validation of software components and features for geofence expansion.
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Support or lead vehicle testing to generate actionable feedback on driving performance.
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Write and file patents for novel technologies you develop.
Qualifications
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Master's degree in Computer Science or related field and 3+ years of experience
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Proficient in C++ programming
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Proven experience in at least one of the following domains: behavioral planning, motion planning, or mission planning for autonomous vehicles
Bonus Qualifications
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Experience with behavioral and motion planning for high-speed autonomous driving
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Experience with autonomous robots and machine learning or data-driven development processes
Qualifications
- Master's degree in Computer Science or related field and 3+ years of experience
- Proficient in C++ programming
- Proven experience in at least one of the following domains: behavioral planning, motion planning, or mission planning for autonomous vehicles
- Experience with behavioral and motion planning for high-speed autonomous driving
- Experience with autonomous robots and machine learning or data-driven development processes
Listed via Zoox · first seen · last verified
