Senior Robot Infrastructure Engineer

Position Overview We are seeking a versatile Robotics Infrastructure Engineer to build the edge-to-cloud systems that connect, manage, update, and monitor our robot fleet at scale. Your work will span on-device software, cloud infrastructure, fleet observability, OTA updates, and reliable connectivity in real-world environments. You should be comfortable writing production-grade C++ and Python on robots while also designing secure, low-latency pipelines into cloud and web platforms. This role involves close collaboration with robotics, autonomy, hardware, deployment, and web product teams to unlock new capabilities powered by real-time robot data. 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. Preferred 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.

$100,000 - $300,000 USD