Senior/Staff Software Engineer - Mission Progress

Zoox

2600

Foster City, CA, United States

Posted on: 2024-07-17

Category: emobility

Apply now

Please let Zoox know you found this job on Work in Green. This will help us grow!

Apply to job

Employment type:

Full time

Experience required:

Senior

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

On the Motion Planning team at Zoox, you’ll have the unique opportunity to tackle the cutting-edge problem of improving the robot's 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.

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 $221,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related 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, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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

13661 Emobility jobs

Similar climate jobs

These are some of our top picks for great climate jobs on Work in Green.

Full time

Zoox

2600

Full time

Emobility