AI Infrastructure & Robotics DevOps Intern (human)

Job summary

Build and maintain infrastructure for AI training and deployment on humanoid robots.

Qualifications

• Pursuing or recently completed a degree in Computer Science, Software Engineering, Electrical Engineering, or related field
• Proficient in Python, Bash, and Linux command-line tools
• Hands-on experience with Docker, GitLab CI, GitHub Actions, Ansible, uv/pip, Git submodules & LFS
• Exposure to NVIDIA Isaac Sim / Isaac Lab, ROS 2, headless GPU simulation in containers is a plus
• Understanding of CI/CD concepts: caching, artifacts, runners, pipelines, reproducible builds
• Curiosity about MLOps and maintaining ML/robotics training pipelines
• Strong problem-solving and debugging skills
• Good command of English; German is a plus

Responsibilities

• Shape pipelines across GitLab and GitHub Actions
• Manage fleet of runners, GPU workstations, and lab machines with Ansible
• Create clean, versioned pip-installable packages
• Optimize Docker images for training, simulation, and deployment
• Integrate NVIDIA Isaac Sim / Isaac Lab into CI
• Ship validated artifacts and Python packages
• Oversee nightly training, evaluation, simulation, and integration runs
• Maintain repository hygiene with submodules and protected branches

Skills

Degrees

Relocation