Embedded Software Engineer (Automotive)

TL;DR

Embedded Software Engineer (Automotive): Developing and maintaining embedded platforms for the Zoox vehicle with an accent on BSPs, bootloaders, and real-time operating systems. Focus on creating robust low-level frameworks and bringing up new hardware platforms in collaboration with electrical engineers.

Location: On-site in San Diego, CA

Salary: $193,000 - $242,000 per year

Company

Zoox is an autonomous vehicle company developing a robotaxi service to redefine urban transportation.

What you will do

• Architect, develop, and optimize software for multiple real-time embedded platforms.
• Develop and maintain board support packages (BSP), including compilers, bootloaders, drivers, and RTOS.
• Build low-level frameworks and infrastructure to accelerate embedded application development and testability.
• Lead bring-up of new embedded platforms by collaborating with electrical engineers and vendors to solve hardware/software issues.
• Contribute to the full software development lifecycle from prototyping and requirements to implementation and validation.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or equivalent experience.
• 3+ years of experience developing real-time embedded software for distributed electromechanical systems.
• Strong proficiency in embedded C and C++.
• Deep experience with micro-controllers and microprocessors.
• Hands-on experience with Linux, QNX, FreeRTOS, or SafeRTOS.
• Proficiency with lab equipment (DACs, debuggers, power supplies, multimeters).

Nice to have

• Experience with automotive communication protocols (CAN, LIN, Ethernet, Wifi, LTE, 5G, NFC, UWB).
• Ability to read and provide feedback on PCB schematics.

Culture & Benefits

• Comprehensive health, long-term care, and life insurance.
• Paid time off, including sick leave, vacation, and bereavement.
• Financial incentives including Amazon RSUs and Zoox Stock Appreciation Rights.
• Sign-on bonus may be offered based on level and location.

Hiring process

• Application review and resume analysis may be supported by AI tools.
• Final hiring decisions are made by human recruitment and technical teams.