Senior/Staff Software Engineer - Trajectory Generation

Posted:
8/5/2024, 4:19:38 PM

Location(s):
Foster City, California, United States ⋅ California, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Software Engineering

Workplace Type:
Hybrid

Pay:
$127/hr or $264,160 total comp

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.
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.

Zoox

Website: https://zoox.com/

Headquarter Location: Foster City, California, United States

Employee Count: 1001-5000

Year Founded: 2014

IPO Status: Private

Last Funding Type: Convertible Note

Industries: Autonomous Vehicles ⋅ Machine Learning ⋅ Robotics ⋅ Transportation