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Senior Robot Infrastructure Engineer

Skild AI· Engineering
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Hybrid (San Francisco)$100k - $300kPosted 3mo ago

About the role

Versatile Robotics Infrastructure Engineer focused on edge-to-cloud systems for a fleet of robots, spanning on-device software, cloud infrastructure, fleet observability, OTA updates, and reliable connectivity in real-world environments.

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.

Qualifications

  • 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 services such as AWS, GCP IoT Core, EC2, S3, Lambda, or related technologies.
  • Deep understanding of networking protocols commonly used in robotics, IoT, or constrained environments, such as MQTT, WebSockets, gRPC, or similar protocols.
  • 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.

Skills

Required:C++GoEdge-to-cloud data pipelinesOTA updatesFleet observabilityRobotics networking protocols
Nice to have:Python

Benefits

  • Base Salary Range $100,000—$300,000 USD
Last updated Jul 5, 2026. Interested? Apply on the company site.
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About Skild AI

Bringing AI into the physical world

Building general purpose robotic intelligence

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