In this role you will be responsible for the most critical in-vehicle component for what we call “Ride Management”. It’s the primary source of truth of the ride state and makes critical decisions about what to present to riders and other systems at any point in the ride as well as when to react to input from various other software and hardware components. (i.e. is the requested mutation possible?).
This component interacts directly with much of the in-vehicle hardware responsible for serving the riders. For example, if the rider presses the button to open the door, this goes through a secure gateway into this Ride State Machine which in-turn decides if and how to interact with all the needed components to accomplish rider’s request. If it’s possible given the current vehicle and ride state. Most in-vehicle functionality that will serve riders needs corresponding work in the Ride State Machine, so this role requires not just a great CS thinking, but also a passion towards providing the best experience to the end users/riders as well as cross-teams collaboration with teams of engineers for other in-vehicle components.
Qualifications
- Bachelor’s degree in an engineering, mathematics, or related field
- 5+ years of industry experience working on large code bases
- Strong proficiency in C++
- Experience with Linux and systems and/or messaging programming
- Experience with build systems, version control, and testing methodologies
Bonus Qualifications
- Experience with Python
- Experience with ROS or Game Engines
- Familiarity with networking, TCP/IP, and sockets programming
- Experience with safety-critical systems
- Experience with integrated user interfaces or mobile application development
- Experience collaborating across teams to solve integrated problems
Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $210,000 to $300,000. A sign-on bonus may be offered as part of the compensation package. 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 candidate’s 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. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to
[email protected] 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.
