Skild AI

Senior Robot Infrastructure Engineer

San Francisco · Senior

Sponsorship not specified$100k-$300kDetected 64 days ago

PythonGoC++AWSGCPCloud PlatformsgRPCWebSocketsMachine LearningData EngineeringRoboticsTCP/IPCommunicationCollaboration

About the role

We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society.
Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts.
Your work will span on-device software, cloud infrastructure, fleet observability, OTA updates, and reliable connectivity in real-world environments.

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.

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.
Strong systems-level understanding of edge computing constraints, including CPU, memory, storage, power cycles, connectivity loss, and local data persistence.
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

Company Overview
Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude.
Position Overview

This listing is sourced directly from Skild AI's careers page and normalized into a canonical job model.