On the Motion Planning team at Zoox youll have the unique opportunity to tackle the cuttingedge problem of improving the robots driving behaviors on public roads. Specifically within the Mission Progress team you will focus on one of the most openended problems: pickup and dropoff. Pickup/dropoff can range from simple maneuvers on quiet suburban streets to incredibly complex and ambiguous driving scenarios that even humans have difficulty navigating like airports and unstructured hotel entrances.
Getting pickup/dropoff maneuvers to be safe and reliable is not only a technical challenge but also a way for robotaxi services to eventually distinguish themselves in their user experience. Pickup/dropoff is the first and last thing a rider experiences and has the potential to leave lasting impressions on the rider. This means you will work closely with UI/UX and product to engineer solutions that are not just safe but elegant in how they handle the different human considerations in the pickup/dropoff process.
In this role you will:
Design principled algorithmic improvements across different driving behavior categories and implement those changes in our code base.
Use our extensive backend tooling to test your changes across many different driving scenarios at the press of a button.
Lead onvehicle drive reviews to generate actionable feedback on driving performance. Use this experience to help the team learn and make improvements.
Attend conferences and survey literature to stay informed on the most recent developments in the fields of Robotics and Motion Planning.
Write and file patents for novel technologies you develop.
Qualifications
B.S or M.S. degree in Computer Science Mechanical Engineering or related field and 8 years of experience
Fluency in C
Understanding of configuration spaces and a variety of planning techniques (A* RRTs PRMs etc.
Demonstrated ability to create realtime motion planning algorithms
Bonus Qualifications
Experience working with planning problems related to pickup/dropoff or pullover maneuvers
Experience with machine learning applications in motion planning
Significant contributions to geometric and/or samplingbased planning algorithms
Compensation
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. The salary will range from$221000 to $319000. A signon bonus may be part of a compensation package. Compensation will vary based on geographic location jobrelated knowledge skills and experience.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance longterm care insurance longterm and shortterm disability insurance and life insurance.
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