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Senior Robot Infrastructure Engineer

Skild AI · San Francisco

CHECKED 2H AGO

Roboticsonsitesenior$100k–$300k
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At a glance

Highlights

  • Build edge-to-cloud systems that connect, manage and monitor robot fleets at scale.
  • Design safe OTA updates and fleet observability for robots in the field.
  • Unlock new capabilities powered by real-time robot data across teams.

Ideal candidate

Versatile builder passionate about reliable real-world robotics who thrives collaborating across teams and exploring uncharted challenges at fleet scale.

Requirements

  • 3+ years of relevant industry experience
  • Strong production programming experience in C++ and Go
  • Prior experience deploying, operating, or managing connected hardware, IoT devices, or robotic systems at scale
  • Experience architecting and managing cloud infrastructure including AWS, GCP IoT Core, EC2, S3, Lambda or related technologies
  • Deep understanding of networking protocols such as MQTT, WebSockets, gRPC or similar
  • Demonstrated experience building or managing OTA update systems for edge devices or deployed fleets
  • Strong systems-level understanding of edge computing constraints including CPU, memory, storage, power cycles, connectivity loss, and local data persistence
  • Experience building fleet observability systems including telemetry, metrics, logging, alerting, monitoring, and uptime tracking
  • Strong focus on reliability, fault tolerance, self-healing infrastructure, and safe operation of deployed systems
  • Experience with OS-level OTA infrastructure or full-device update mechanisms

Lab profile

About Skild AI

Building general-purpose robotic intelligence that adapts robustly to unseen scenarios.

What they build

  • General-purpose robotic intelligence
  • Scalable foundation model for robot deployment

Known for

  • Large-scale data-driven machine learning
  • Robust adaptation to unseen scenarios
  • Computer vision and manipulation
  • Simulation and embedded systems
More about Skild AI →
Apply on the lab’s site ↗