Senior DevOps Engineer - Edge AI & Robotics
Core
Design, implement, and operate automation, infrastructure, and deployment pipelines for scalable software delivery in robotics, drones, autonomous mobile robots, and intelligent edge platforms.
Role type
Senior IC DevOps Engineer (Edge AI & Robotics)
Builds
CI/CD pipelines, containerized workflows, infrastructure-as-code solutions, and deployment targets for Linux-based edge devices and embedded systems.
Domain
Automotive technology, Robotics, Edge AI, Embedded Systems
Deliverable
production ML models | product features | infrastructure
Required skills
CI/CD pipeline design and maintenance, Linux environment management, scripting (Python, Bash, PowerShell), Docker containerization, infrastructure-as-code, artifact management, troubleshooting distributed engineering environments
Preferred skills
Kubernetes and Helm, cloud platforms (Azure, AWS, GCP), ROS 2 and DDS middleware, hardware-in-the-loop and simulation-in-the-loop workflows, MLOps frameworks (MLflow, Kubeflow, KServe), embedded platform knowledge (NVIDIA, Qualcomm, NXP)
Technologies
GitHub Actions, GitLab CI, Jenkins, Azure DevOps, Docker, Kubernetes, Helm, ROS 2, DDS, Python, Bash, PowerShell, Linux, Azure, AWS, Google Cloud, MLflow, Kubeflow, KServe, ONNX, TensorRT
Responsibilities
Design and maintain CI/CD pipelines for robotics and embedded software; build and operate cloud, edge, and embedded deployment infrastructure; partner with AI/ML and embedded teams to define efficient workflows; enable reproducible development environments and deployment targets; troubleshoot build, test, and infrastructure issues across distributed teams
Seniority
Senior, hands-on IC
