Warren, MI, US
Position Summary
Support the GM ARC RTD Cobot software development team by defining, implementing and maturing DevOps operating models for the mono repo and associated runtime, AI, integration and tooling workflows. This role will improve build reproducibility, CI/CD reliability, release standardization, deployment consistency and developer onboarding across Linux development workstations, GPU servers and cobot bench environments.
The Software Engineer - DevOps will establish a documented and repeatable path from clean machine provisioning through containerized development, validation, release packaging and deployment to lab and pilot systems. The ideal candidate combines strong DevOps engineering practices with experience supporting robotics, AI/ML, embedded systems or high-performance computer environments.
Required Qualifications
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering or related field.
3 years of experience in DevOps, Platform Engineering or Software Infrastructure roles.
Strong experience with Git, GitHub and GitHub Actions.
Experience building and maintaining CI/CD pipelines in Linux environments.
Proficiency with containerization technologies such as Docker and Docker Compose.
Experience with scripting and automation using Python, Bash or similar languages.
Familiarity with artifact management, version control and release automation.
Experience administering Linux systems and development environments.
Strong troubleshooting, communication and collaboration skills.
Preferred Qualifications
Experience supporting robotics, autonomous systems or AI/ML software development environments.
Experience with GPU-enabled systems, CUDA or high-performance compute infrastructure.
Familiarity with ROS/ROS2, simulation environments or robotics middleware.
Experience with infrastructure-as-code and configuration management tools.
Knowledge of Kubernetes, cloud-native workflows or edge deployment architectures.
Experience with software validation frameworks and automated test systems.
Familiarity with secure software development and DevSecOps practices.
Technical Skills
GitHub Actions, Git workflows and repository governance
Docker, containerized development and deployment
Linux system administration and shell scripting
CI/CD pipeline automation and orchestration
Python, Bash and automation tooling
Artifact repositories and package management
Build systems and dependency management
Self-hosted runner infrastructure and GPU compute environments
Test automation and validation frameworks
