Embedded Software Engineer - Battery Management Systems

Zoox is looking for an embedded software engineer to join our Firmware Power Systems team. Responsibilities include designing, building, and testing real-time embedded code in C/C++ for BMS (Battery Management Systems). Key responsibilities include implementing safety algorithms, managing board bring-up, and ensuring seamless hardware-software integration. The work includes Power management and efficiency, Charging control, a variety of operator controls, integration of supplier systems, coordination and control of all Power sub-systems, and low-level vehicle controls. This work requires collaboration with vehicle engineers, systems engineers, controls engineers, and suppliers to ensure the Zoox vehicle can drive safely and reliably. 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 BMS (Battery Management Systems of the Zoox vehicle


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  Implement core logic for cell balancing, charging control, thermal management, and contactor controls.



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  Integrate supplier sub-systems into the Zoox software stack



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



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



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  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 computer science, electrical engineering, mechanical engineering, or equivalent experience


• 8+ years of experience developing real-time embedded software for Power Electronics and Battery Management.


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  Strong embedded C/C++ programming experience



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



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



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  Understanding of sensors and actuators and automotive communication protocols (CAN, LIN)

Bonus Qualifications

• Basic knowledge of control systems for electromechanical systems


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



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  Familiarity with high assurance development practices and tools (Polarion, ISO-26262, MISRA C/C++, etc)

$200,000 - $240,000 a year

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 $200,000 to $240,000. 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:

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.