Skild AI

Senior Robot Infrastructure Engineer

Skild AI
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3 months ago

Base Salary

$100k - $300k/yr

Responsibilities

  • Design, implement, and maintain production-grade C++ and Python software running on robotic platforms.
  • Build on-device systems for robotics software interfacing, local data buffering, and edge-side communication.
  • Architect and maintain secure, low-latency edge-to-cloud data pipelines for deployed robot fleets.
  • Design, build, and operate reliable OTA update mechanisms for robots in the field.
  • Develop telemetry, alerting, logging, and monitoring tools across robot operating systems, cloud infrastructure, and fleet dashboards.
  • Optimize edge software for reliability, performance, resource usage, and resilience in real-world deployments.
  • Collaborate with autonomy, hardware, deployment, and web product teams on capabilities powered by live robot data.
  • Improve fleet reliability, observability, and uptime across device and cloud systems.

Requirements

  • At least 3 years of relevant industry experience.
  • Strong production programming experience in C++ and Python.
  • 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 used in robotics, IoT, or constrained environments, such as MQTT, WebSockets, and gRPC.
  • 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 involving 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.

Tech Stack

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Skild AI

About Skild AI

11-50 employees

Building general purpose robotic intelligence.