Within the Motion Planning organization at Zoox, you’ll be dedicated to improving the driving behaviors of the robot on public roads. The Planner's job is to figure out where the robot is going and how to get there safely in situations as complex as those found in Downtown San Francisco or on the Las Vegas Strip.
The Trajectory Generation team is responsible for developing robust and efficient algorithms and software that produces safe, feasible, and optimal trajectories. This module is a key component of the Planner for our bidirectional autonomous vehicle, and it is critical to achieving a safe and comfortable rider experience in various driving environments. We are seeking an engineer to develop and enhance our trajectory generation algorithms and software to continuously improve our autonomous driving system.
In this role, you will:
- Design trajectory generation algorithms and implement them in high-quality software to continuously improve the capability of our autonomous driving system and enhance the safety and comfort of our driving behavior on public roads.
- Use our extensive backend tooling to test and validate your algorithms and software across many different driving situations, and develop metrics and pipelines to further our ability to test/measure the algorithms’ performance.
- Participate in or lead cross-functional projects to deliver mission-critical features to expand our autonomous driving capabilities.
- Participate in on-vehicle drive reviews to gather actionable feedback on driving performance, and use this knowledge to help the team learn and make continuous improvements.
- Conduct literature review and participate in study groups to stay current with the advancements in the fields of Motion Planning, Autonomous Driving, and Robotics in general.
Qualifications
- Master's degree in Computer Science, Robotics, or related fields
- Fluency in C++ with experience shipping productionized software
- Proven experience in developing trajectory optimization algorithms and real-time motion planning software
- Deep knowledge about numerical constrained optimization methods
Bonus Qualifications
- Experience with geometric, sampling, and search-based planning algorithms
- Experience with machine learning-based motion planning
- Experience with behavior planning, discrete decision making, tree search, and POMDP
$151,000 - $270,000 a year
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
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, long-term care insurance, long-term and short-term disability insurance, and life insurance.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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