Senior DevOps Engineer, Robotics

About the Role

We are looking for a Senior Dev Ops Engineer to own the build, deployment, and release infrastructure that keeps Knightscope's autonomous security robot fleet running. You will work across a small, highly efficient team, owning CI/CD pipelines, cloud infrastructure, and the OTA deployment systems that push software and ML models to a production fleet of robots operating around the clock across the US.

• Build, operate, and continuously improve end-to-end CI/CD pipelines for a production robotics platform spanning autonomy, security perception, and embedded firmware stacks.
• Own the OTA update pipeline: multi-image container builds, staged fleet rollout, and rollback across heterogeneous hardware targets.
• Manage cloud infrastructure and Kubernetes deployments supporting ML training pipelines, model registry, and fleet telemetry.
• Triage CI failures, distinguish infrastructure from product issues, and drive resolution with clear ownership.
• Improve observability across pipelines and deployed systems through automation, metrics, logging, and monitoring.
• Build and maintain internal tooling, leveraging AI to automate workflows, reduce toil, and improve CI failure analysis.
• Mentor engineers and contribute to platform architecture decisions across the team.

• 10+ years in Dev Ops, SRE, or platform engineering with ownership of CI/CD systems, cloud infrastructure, and production deployments.
• Hands‑on experience with Git Hub Actions or Git Lab CI, Git‑based workflows, and collaborative software development at scale.
• Strong Linux systems expertise including networking, storage, performance, and security.
• Practical experience with AWS and container technologies including Docker and Kubernetes.
• Experience supporting C++ and Python development teams on Linux.
• Python scripting and automation tooling experience.

• Experience with ROS2‑based robotics development workflows, multi‑repository builds, and platform‑specific targets.
• Experience with multi‑architecture CI environments spanning x86 and ARM
  64 embedded targets.
• Experience with OTA update systems or fleet deployment pipelines for embedded or edge hardware.
• Background in ML model deployment pipelines: model packaging, registry management, and staged rollout to edge devices.
• Previous experience in release engineering including branching strategies, artifact management, and CDN distribution.

• Base Salary: $180,000 to $220,000 (DOE)
• Equity:
  Stock options
• Benefits:
  Medical, dental, vision, 401(k), paid time off
• Location Requirement:
  Full‑time, on‑site at Sunnyvale HQ