On the Motion Planning team at Zoox youll have the unique opportunity to tackle the cutting-edge problem of improving the robots driving behaviors on public roads. Specifically within the Mission Progress team you will focus on one of the most open-ended 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 on-vehicle 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 real-time 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 sampling-based planning algorithms
$168000 - $258000 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 candidates 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.
About Zoox
Zoox is developing the first ground-up fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics machine learning and design Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
A Final Note:
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.
On the Motion Planning team at Zoox youll have the unique opportunity to tackle the cutting-edge problem of improving the robots driving behaviors on public roads. Specifically within the Mission Progress team you will focus on one of the most open-ended problems: pickup and dropoff. Pickup/dropoff ...
On the Motion Planning team at Zoox youll have the unique opportunity to tackle the cutting-edge problem of improving the robots driving behaviors on public roads. Specifically within the Mission Progress team you will focus on one of the most open-ended 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 on-vehicle 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 real-time 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 sampling-based planning algorithms
$168000 - $258000 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 candidates 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.
About Zoox
Zoox is developing the first ground-up fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics machine learning and design Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
A Final Note:
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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