Senior Embedded Middleware & Automation Engineer
TLDR
Develop and maintain middleware, tooling, and automation solutions for embedded systems, while leveraging AI-assisted workflows to enhance engineering productivity.
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.
Zoox is building a fully autonomous vehicle fleet from the ground up, coupled with the ecosystem necessary to launch this technology into urban environments. By integrating robotics, machine learning, and innovative design, Zoox is paving the way for a new era of mobility-as-a-service.
- Founded
- Founded 2014
- Employees
- 500+ employees
- Industry
- Automotive
- Total raised
- $990M raised