Zoox

Embedded Software Engineer - Power Systems

Zoox
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2 months ago
Foster City, CA, USA or San Diego, CA, USAMid Level
H1B Sponsor

Base Salary

$155k - $190k/yr

Responsibilities

  • Design, develop, and test embedded software for vehicle charging and power systems
  • Integrate supplier subsystems into the Zoox software stack
  • Create software requirements, design documentation, test plans, and supporting documentation
  • Collaborate cross-functionally with vehicle, controls, software, validation, and systems engineers
  • Contribute to prototyping, requirements capture, design, implementation, and validation across the software development lifecycle

Requirements

  • Bachelor’s or master’s degree in computer science, electrical engineering, mechanical engineering, or equivalent experience
  • At least four years of experience developing real-time embedded software for distributed electromechanical systems
  • Strong embedded C/C++ programming experience
  • Experience with embedded microcontrollers or microprocessors such as ARM and PowerPC
  • Understanding of sensors, actuators, and automotive communication protocols including CAN and LIN
  • Basic knowledge of control systems for electromechanical systems is preferred
  • Experience with CAN and LIN analysis and debugging tools such as PCAN, CANalyzer, and CANape is preferred
  • Hands-on experience with hardware bring-up and system debugging is preferred
  • Familiarity with high-assurance development practices and tools such as Polarion, ISO-26262, and MISRA C/C++ is preferred
  • Experience in power electronics and battery management is preferred

Benefits

  • Paid time off including sick leave, vacation, and bereavement leave
  • Unpaid time off
  • Zoox Stock Appreciation Rights and Amazon RSUs
  • Health insurance
  • Long-term care insurance
  • Long-term and short-term disability insurance
  • Life insurance

Tech Stack

Categories

Zoox

About Zoox

1,001-5,000 employees

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

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