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