Senior Embedded Middleware & Automation Engineer

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 About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. In this role, you will: 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 Qualifications 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] Bonus Qualifications 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.

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