Embedded Software Engineer

Zoox; Foster City (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Zoox is seeking an embedded software engineer to help build simulation infrastructure for firmware used across the robot's ECUs, including drive, brake, steer, and health monitoring systems. You will enable simulation capabilities that let firmware run in virtualized, software-in-the-loop, and hybrid SIL/HIL environments, integrated with Zoox's core simulation platform and autonomy stack pipelines.

The role spans the embedded stack from BSPs to HALs and OSALs, focusing on determinism, timing,

Job description

Zoox is looking for an embedded software engineer to build out simulation infrastructure for our firmware. Our firmware runs on many ECUs across the robot, including the components that drive, brake, steer, and monitor the vehicle's health. Today, most of that firmware depends on hardware-in-the-loop (HIL) benches, which are expensive, hard to scale, and slow to iterate on. You will build the simulation capabilities that let firmware run in virtualized, software-in-the-loop (SIL), and hybrid SIL/HIL environments, integrated with Zoox's core simulation platform and the pipelines the rest of the autonomy stack already uses.

You’ll be one of the first engineers on a new embedded-focused simulation team within the Firmware organization: simulation infrastructure engineering, built by and for firmware. The work you do here will lay the groundwork for Firmware's adoption of Zoox's simulation and more advanced test platform infrastructure. It spans much of the embedded stack, from low-level BSPs, through middleware such as messaging, HALs, and OSALs, up to the application layer. You’ll need to understand what embedded software optimizes for (determinism, timing, resource limits, hardware interfaces) and turn that into simulation infrastructure that firmware teams trust and adopt.