Embedded Software Engineer - Drive Systems

Zoox is hiring an Embedded Software Engineer - Drive Systems in Foster City, United States. It pays $137k-$207k a year and Level rates it ; you can apply on Zoox.

Level's read on this job

Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
Level classifies it as a junior role.
Level lists 228 other open roles at Zoox.

AI in this role

Zoox is looking for an embedded software engineer to join our Firmware Drive Systems team. Drive Systems owns the critical path from autonomous trajectory to vehicle motion — taking a trajectory from our AI stack and translating it into drive control actuator commands (motor torques, brake torques, steering angles, and more), arbitrating between control sources (our nominal AI stack, in-house remote controller, and test sources like drive-by-wire and trajectory spoofing), and continuously monitoring the safety of trajectory execution and drive control ECUs. We are looking for people who are passionate about working with hardware and developing production-quality, safety-critical code for complex dynamic systems.

Drive Systems engineers literally make the robot move. Whether a Zoox robot is in service carrying riders, staging at a depot, undergoing critical testing on test tracks, or freshly off the assembly line, this team ensures it drives safely and reliably.

In this role, you will:

Build and contribute to simulation, emulation, SIL, and HIL infrastructure to validate drive control software
Design, develop, and test embedded software for autonomous trajectory execution, translating planned trajectories into drive control actuator commands (motor torque, brake torque, steering angle, and more)
Contribute to control source arbitration and safety monitoring across trajectory execution and drive control ECUs
Integrate supplier sub-systems (steering, motoring, braking, active suspension, and more) into the Zoox software stack
Work cross-functionally with Motion & Controls, Vehicle Dynamics, Safety Systems, Validation, and other partner teams to deliver a seamless, highly-automated driving experience

Qualifications

Bachelor's or Master's degree in Electrical/Computer Engineering, Robotics, or equivalent experience
1-3 years of experience developing real-time embedded software for distributed electro-mechanical systems and the simulation and test infrastructure for such systems
Strong embedded C/C++ programming experience and experience with Python for test
Experience with QNX, SafeRTOS, FreeRTOS, or similar embedded operating systems
Understanding of automotive communication protocols (CAN, LIN) and sensor/actuator integration

Bonus Qualifications

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

Compensation There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. 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.

How we rate this

Embedded Software Engineer - Drive Systems at Zoox rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.