Embedded Software Engineer - Body Systems

Zoox is looking for an embedded software engineer to join our Firmware Body Systems team. In this role, you will be responsible for embedded software development for the body, thermal, lighting, and closure system functions and sub-systems of the Zoox vehicle. This includes integration of supplier systems, coordination and control of all body sub-systems, and interactions with higher-level systems. You will work closely with vehicle engineers, systems engineers, controls engineers, electrical engineers, and suppliers to create a seamless and highly automated rider experience for the Zoox vehicle. We are looking for people who are passionate about working with hardware and developing production-quality code for complex dynamic systems.

In this role, you will:

Design, develop, and test embedded software for body, thermal, lighting, and door functions of the Zoox vehicle

Create software requirements, design documentation, test plans, and other supporting documentation

Work cross-functionally with vehicle engineers, controls engineers, electrical engineers, validation engineers, and other experts to ensure a seamless and highly-automated experience for the Zoox vehicle

Integrate supplier sub-systems into the Zoox software stack

Contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation

Qualifications

Bachelor's or Master's degree in Electrical and Computer Engineering, Robotics, Computer Science or equivalent experience

1+ years of experience developing real-time embedded software for distributed electro-mechanical systems

Strong C++/C programming experience and object oriented programming

Experience with embedded micro-controllers and/or microprocessors (ARM, PowerPC or equivalent)

Understanding of various sensors, motors, actuators

Hands-on experience with hardware bring-up and system debugging

Bonus Qualifications

Basic knowledge of control systems for electromechanical systems

Experience with CAN, LIN analysis, and debugging tools (PCAN, CANalyzer, CANape, etc.)

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 $140,000 to $170,000. 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.

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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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.