Principal Embedded System Automation Engineer, CesiumAstro

• The ideal candidate understands embedded software stacks and the modern tools that accelerate their development
• Ideally deep experience with OpenEmbedded and the Yocto Project
• Bachelor’s degree in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)
• Minimum of 9 years of relevant experience
• Proven facility with CI/CD tools (e.g., GitLab CI, Jenkins, or similar)
• Proficiency in Linux system administration, including performance tuning and troubleshooting
• Familiarity with Yocto or other embedded Linux build frameworks
• Experience with build automation tools (CMake, Make, BitBake, etc.)
• Strong scripting skills (Python, Bash, or similar)
• Excellent problem-solving skills and ability to work collaboratively with developers
• Knowledge of networking and distributed systems
• Experience with containerization (Docker, Podman) and virtualization (KVM, VMWare)
• Familiarity with hardware-in-the-loop (HIL) testing environments

Desirable

• We are seeking a Principal DevOps Engineer I for Embedded Software to own and scale the infrastructure that supports our mission critical software development across multiple programs and product lines
• In this role, you will advance infrastructure that generates software images, deploys them onto hardware, ensures continuous integration/continuous development, organizes and optimizes Yocto embedded builds, and maintain high-performance, Linux-based build environments
• Understanding of make and cmake
• Understanding of build flows from compilation to image generation
• Facility with GitLab CI/CD pipelines and GitLab Runners that build, test, and deploy embedded software for harware for test
• Ensure CI systems integrate with hardware-in-the-loop test environments for regression and validation
• Deep facility with yaml-based CI configuration
• Facility with Docker virtual build environments and containerization
• Administer and maintain high-performance Linux build machines used for continuous integration, regression testing, and software release packaging
• Monitor system performance, scale compute resources, and maintain uptime for development teams
• Support and automate the software release process for production releases to customers
• Manage build artifacts, versioning, and delivery
• Act as the first line of support for developers encountering build, test, or environment issues
• Collaborate with software teams to improve developer productivity
• Assist in maintenance and utilization of company could-based AI productivity environment