Senior DevOps Engineer, Robotics

About The Role

We are looking for a Senior DevOps 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.

Key Responsibilities

• 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.

Required Qualifications

• 10+ years in DevOps, SRE, or platform engineering with ownership of CI/CD systems, cloud infrastructure, and production deployments.
• Hands-on experience with GitHub Actions or GitLab 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.

Preferred Qualifications

• Experience with ROS2-based robotics development workflows, multi-repository builds, and platform-specific targets.
• Experience with multi-architecture CI environments spanning x86 and ARM64 embedded targets.
• Experience with OTA update systems or fleet deployment pipelines for embedded or edge hardware.
• Experience with 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.

Compensation & Benefits

• 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