5 months ago
Base Salary
$100k - $300k/yr
Responsibilities
- Design, implement, and maintain production-grade C++ and Python software running on robotic platforms.
- Build on-device systems for robotics software interfacing, local data buffering, and edge-side communication.
- Architect and maintain secure, low-latency edge-to-cloud data pipelines for deployed robot fleets.
- Design, build, and operate reliable OTA update mechanisms for robots in the field.
- Develop telemetry, alerting, logging, and monitoring tools across robot operating systems, cloud infrastructure, and fleet dashboards.
- Optimize edge software for reliability, performance, resource usage, and resilience in real-world deployments.
- Collaborate with autonomy, hardware, deployment, and web product teams on capabilities powered by live robot data.
- Improve fleet reliability, observability, and uptime across device and cloud systems.
Requirements
- At least 3 years of relevant industry experience.
- Strong production programming experience in C++ and Python.
- Experience deploying, operating, or managing connected hardware, IoT devices, or robotic systems at scale.
- Experience architecting and managing cloud infrastructure, including AWS, GCP IoT Core, EC2, S3, Lambda, or related technologies.
- Deep understanding of networking protocols used in robotics, IoT, or constrained environments, such as MQTT, WebSockets, and gRPC.
- 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 involving 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 Skild AI
Skild AI builds a general-purpose robotic intelligence and software stack to train and deploy robots that adapt to varied, unseen tasks for commercial use. It offers a platform and models for robot manufacturers and enterprises automating physical work, with support for integration across manipulators and mobile systems. Founded in 2023 and headquartered in Pittsburgh, the privately held company raised a Series C in 2026.