Skildai Careers
Senior Robot Infrastructure Engineer
San Francisco. Posted 6 months ago
The role
This person will build edge-to-cloud systems to connect, manage, update, and monitor a robot fleet at scale. The work spans on-device software, cloud infrastructure, fleet observability, OTA updates, and connectivity.
What you will do
- 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.
- Design, build, and operate OTA update mechanisms for deploying software updates to robots.
- 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.
- Collaborate with autonomy, hardware, deployment, and web product teams.
- Continuously improve fleet reliability, observability, and uptime.
Required qualifications
- Write production-grade C++ and Python on robots.
- Design secure, low-latency pipelines into cloud and web platforms.
Nice to have
- 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
About the company
Skild AI is building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. The team consists of individuals with varying levels of experience and backgrounds.