Embedded Software Engineer - Drive Systems (Automotive)

Location: Foster City, California, United States; hybrid workplace

Company

Zoox develops autonomous vehicle systems that translate AI-generated trajectories into safe vehicle motion.

What you will do

• Build and contribute to simulation, emulation, software-in-the-loop, and hardware-in-the-loop infrastructure for validating drive control software.
• Design, develop, and test embedded software for autonomous trajectory execution and translate 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 steering, motoring, braking, active suspension, and other supplier subsystems into the software stack.
• Collaborate with Motion & Controls, Vehicle Dynamics, Safety Systems, Validation, and partner teams to deliver an automated driving experience.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Robotics, or equivalent experience.
• 1–3 years of experience developing real-time embedded software for distributed electromechanical systems and simulation and test infrastructure for these systems.
• Strong embedded C/C++ programming experience and experience using Python for testing.
• Experience with QNX, SafeRTOS, FreeRTOS, or a similar embedded operating system.
• Understanding of automotive communication protocols, including CAN and LIN, and sensor/actuator integration.

Nice to have

• Experience with CAN/LIN analysis and debugging tools such as PCAN, CANalyzer, or CANape.
• Familiarity with high-assurance development practices and tools, including Polarion, ISO 26262, and MISRA C/C++.
• Hands-on experience with hardware bring-up, system debugging, or SIL/HIL test infrastructure.

Culture & Benefits

• Hybrid work arrangement in Foster City, California.
• Cross-functional collaboration across controls, vehicle dynamics, safety, validation, and software teams.
• Work on production-quality, safety-critical software for complex dynamic systems.