We are looking for a software engineer to help scale development productivity, automation, observability, and system diagnostics for embedded and connected device platforms for Zoox’s Telematics and Infotainment firmware team. This role sits at the intersection of embedded Linux development, middleware integration, automation infrastructure, developer tooling, and AI-assisted engineering workflows.
The ideal candidate is comfortable working across Linux user space, middleware, automation frameworks, CI/CD systems, telemetry pipelines, and system-level debugging to improve developer velocity and product quality.
This is not a traditional QA/SDET role. We are looking for engineers who combine strong software engineering fundamentals with practical automation, tooling, and systems debugging experience in embedded environments.
What Success Looks Like:
Improves engineering productivity through automation, tooling, and AI-assisted workflows
Reduces debugging and validation turnaround time through better diagnostics and observability
Enables scalable and reliable automation across multiple device platforms
Helps engineering teams move faster by simplifying development, testing, and troubleshooting workflows
Contributes both technically and operationally across middleware, tooling, automation, and system integration areas
Develop and maintain middleware, tooling, and automation solutions for embedded Linux and connected device platforms
Extend and improve existing automated validation frameworks and CI/CD workflows
Build tooling to improve developer productivity, diagnostics, observability, and troubleshooting efficiency
Develop and maintain telemetry, logging, and dashboarding solutions for system monitoring and issue triage
Collaborate with embedded, firmware, cloud, and infrastructure teams to improve development and validation workflows
Use AI-assisted development tools and workflows to accelerate engineering productivity and test development
Analyze system behavior across software, networking, middleware, and device layers to identify and debug complex issues
Support scalable automated testing for connectivity, middleware, and system-level validation
Contribute to automation strategies that improve scalability, reliability, and engineering efficiency across device programs
7+ years of hands-on C/C++ and Python user-space and middleware development in Linux environments
BS/MS in CS, CE, or EE.
Proficient in designing Bash scripts, custom developer tooling, and automated workflows for Linux-based systems.
Experienced in building, maintaining, and scaling CI/CD pipelines, automation testing frameworks, and infrastructure.
Competent in multi-layer software debugging, system logging implementation, and configuring telemetry or observability tooling.
Functional knowledge of integrating and troubleshooting communication protocols including Wi-Fi, Bluetooth, LTE, Ethernet, and CAN.[Qualification]
Embedded Linux & Infrastructure: Expert C/C++ developer in embedded Linux and middleware environments, utilizing Yocto, QEMU, virtualization, HIL/SIL, and device simulation.
Build Systems & Cloud DevOps: Experienced in developer tooling, build systems, platform infrastructure, Docker, and AWS-based cloud infrastructure.
Telemetry & Data Analytics: Skilled in building and managing telemetry pipelines, metrics systems, dashboards, and advanced analytics tooling.
Device Scaling & AI Automation: Proven track record scaling automation for connected device ecosystems, integrating device-cloud systems, and leveraging AI-assisted workflows.