
Open since Jun 2026
Senior DevOps Engineer, Robotics
AI Summary
Owns CI/CD pipelines, cloud infrastructure, and OTA deployment systems for a production fleet of autonomous security robots, spanning autonomy, perception, and embedded firmware stacks.
About this role
About Knightscope
Knightscope is a security technology company building the Nation’s First Autonomous Security Force. The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure. Knightscope’s long-term mission is to make the United States of America the safest country in the world
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.
- 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.
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
Skills
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