Decision making and motion planning are the primary responsibilities of mobile robots. Taking input from a variety of perception and localization systems, the planner's job is to figure out where the robot is going and how to get there safely. 

A key piece of building this complex software is measuring its performance. As a software engineer for autonomy metrics, we will use vehicle and simulation data to help our developers understand how the vehicle is driving and develop innovative metrics for our driving behavior and/or system performance that support decisions, direct efforts, and provide clarity.

In this role, you will:

• Build, integrate, and validate metrics that evaluates vehicle performance
• Lead complex, cross-functional projects
• Work closely with end users to promote a metrics-driven culture and rapid pace of development

• Experience in a data-focused role, performing analyses that inform decision making
• Strong Python skills for moving and analyzing data
• Experience with real-time algorithms
• Strong communication skills
• Ability to make arguments via data, metrics, and their presentation
• at least 7 years of industry experience

• Proficient in C , R, or Spark
• Strong statistics background
• MS or PhD in a related field

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 $163,000 to $234,000. 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.

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. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.