Skild AI is building the world's first general purpose robotic intelligence that adapts to unseen scenarios. They are seeking a versatile Robotics Infrastructure Engineer to develop edge-to-cloud systems for managing and monitoring their robot fleet at scale.
Responsibilities:
- Design, implement, and maintain production-grade C++ and Go running directly on robotic platforms
- Build on-device systems for interfacing with core robotics software, managing local data buffering, and handling edge-side communication logic
- Architect and maintain secure, low-latency edge-to-cloud data pipelines connecting deployed robot fleets to cloud infrastructure and web platforms
- Design, build, and operate OTA update mechanisms for safely and reliably deploying software updates to robots in the field
- Build telemetry, alerting, logging, and monitoring tools across the robot operating system, cloud infrastructure, and fleet dashboards
- Optimize edge software for reliability, performance, resource usage, and resilience under real-world deployment constraints
- Collaborate with autonomy, hardware, deployment, and web product teams to support new features powered by live robot data and fleet-scale infrastructure
- Continuously improve fleet reliability, observability, uptime across both device and cloud systems