Senior/Staff Software Engineer - Scene Understanding

Posted:
12/10/2024, 3:23:17 PM

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

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Workplace Type:
Hybrid

Pay:
$115/hr or $239,200 total comp

The Motion Planning Scene Understanding team at Zoox is dedicated to improving the driving behaviors of our robots with Motion Planning capabilities to navigate through challenging environments.

We are looking for people passionate about working with robots, creating next-generation algorithmic improvements, applying cutting-edge AI, and deploying production quality software to Zoox’s vehicles to be able to handle highly complex scenes. Driving in a dynamic urban environment may include road closures, partial obstructions, unexpected hazards, false signage, and abnormal traffic patterns.

At Zoox, you will work closely with teams including mapping, perception, prediction, planning, safety, and operations to ensure that Zoox vehicles can drive in the world safely and serve our riders reliably.
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 $230,000 to $332,000. 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