DevOps Engineer – Robotics Infrastructure

At Kinisi, we’re building the next generation of intelligent, autonomous robots designed to operate in complex real-world environments—from warehouses to restaurants to retail spaces. We’re looking for a DevOps Engineer who’s excited to bridge software and infrastructure, and who thrives in the unique challenges of deploying robotics systems into the real world. This role is critical in enabling our autonomy, perception, and controls teams to deliver reliable, scalable systems to both lab and field environments. You’ll build the tooling and infrastructure that ensures our robots can be developed, tested, deployed, and monitored—anytime, anywhere.

Position Responsibilities:

• Optimize on-robot compute infrastructure in collaboration with robotics and perception teams to ensure high performance, reliability, and maintainability in the field.
• Design, implement, and maintain CI/CD pipelines for seamless deployment and testing of autonomy software, both in simulation and on physical hardware.
• Develop hybrid cloud–edge infrastructure to support scalable data processing, storage, and remote fleet operations—including secure OTA updates and software version management.
• Monitor and troubleshoot system performance, both in lab and field deployments, with rapid resolution of issues to maintain operational uptime.
• Implement observability and logging frameworks on-robot and in the cloud, with defined retention policies and offload mechanisms for log analysis.
• Build tools, scripts, and dashboards that empower developers across software, perception, and controls teams to iterate quickly and deploy confidently.
• Ensure security and integrity of deployments, including best practices for secure boot, network authentication, and encrypted data handling.
• Support hardware-in-the-loop (HIL) and simulation-in-the-loop testing pipelines to validate software before field deployment.

Required Skills:

• 5+ years of experience in a DevOps, infrastructure, or site reliability role.
• Proficiency in Git and modern DevOps tools (CI/CD systems, Docker, etc.).
• Experience working with Linux and embedded Linux systems (e.g., systemd, RT-Linux).
• Familiarity with debugging/profiling tools such as GDB, Wireshark, and Grafana.
• Strong understanding of container orchestration, deployment automation, and software rollback/versioning strategies.
• Ability to implement and maintain on-robot services (e.g., systemctl, docker-compose).
• Experience designing cloud-to-edge pipelines for managing robots or edge devices in the field.
• Experience with DNS, networking, and performance optimization for real-time systems.
• Strong documentation and cross-team communication skills.

What Makes You Stand Out:

• Experience with ROS/ROS2 and DDS-based communication systems.
• Hands-on experience with robotics systems, autonomous vehicles, or IoT edge devices.
• Familiarity with remote fleet management and OTA update systems.
• Experience with hardware-in-the-loop (HIL) testing or simulation tools (e.g., Gazebo, Webots).
• Knowledge of cloud infrastructure providers (AWS, GCP, Azure) and infrastructure-as-code tools (Terraform, Ansible, etc.).
• Familiarity with observability platforms (e.g., ELK, Prometheus/Grafana) tailored for robotic or embedded systems.