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Embedded Software Engineer - Drive Systems

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Embedded Software Engineer - Drive Systems in USA

  • Foster City, CA

Responsibilities

  • Build and contribute to simulation, emulation, SIL, and HIL infrastructure for validating drive-control software.
  • Design, develop, and test embedded software that translates planned trajectories into motor-torque, brake-torque, and steering-angle commands.
  • Implement control-source arbitration and safety monitoring across trajectory execution and drive-control ECUs.
  • Integrate supplier subsystems including steering, motoring, braking, and active suspension into the Zoox software stack.
  • Collaborate with Motion & Controls, Vehicle Dynamics, Safety Systems, Validation, and partner teams to deliver automated driving functionality.

Requirements

  • Bachelor’s or Master’s degree in Electrical or Computer Engineering, Robotics, or equivalent experience.
  • 1–3 years of experience developing real-time embedded software for distributed electromechanical systems and related simulation and test infrastructure.
  • Strong experience programming in embedded C/C++ and using Python for testing.
  • Experience with QNX, SafeRTOS, FreeRTOS, or similar embedded operating systems.
  • Understanding of automotive communication protocols including CAN and LIN, plus sensor and actuator integration.
  • Preferred experience with CAN/LIN analysis and debugging tools such as PCAN, CANalyzer, and CANape.
  • Preferred familiarity with Polarion, ISO-26262, MISRA C/C++, high-assurance development, hardware bring-up, system debugging, or SIL/HIL test infrastructure.

Benefits

  • Comprehensive benefits package including paid time off, unpaid time off, health insurance, long-term care insurance, disability insurance, and life insurance.
  • Compensation may include Zoox Stock Appreciation Rights and Amazon RSUs; a sign-on bonus may also be offered.

Salary: $137k - $207k/yr

Zoox

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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