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Nimble seeks a backend and systems engineer to coordinate robots and warehouse operations. You will build distributed services, APIs, and data models that run in production, ensuring reliability and scalability.
You will lead design reviews, mentor teammates, and own on-call reliability. Familiarity with Rust, Python, or C++ helps bridge software and AI-enabled workflows.
The role is backend and systems engineering for the software layer that coordinates robots and warehouse operations. A strong candidate brings solid fundamentals in distributed systems, API design, and data modeling, plus hands on work in Rust, Python, or C++. The job also expects someone who can lead design reviews, mentor others, and handle production reliability including on call.
The work sits next to an AI team, so the engineer builds the services and orchestration that let AI driven robot systems run in production. Much of the value is in making long running processes reliable, observable, and scalable, which stays human work even as AI assists with coding and monitoring. Judgment about system design, failure handling, and cross team coordination remains central.
The role offers exposure to multi agent systems and robot facing interfaces inside an AI robotics company building autonomous fulfillment centers. A candidate can build relevant experience by working on orchestration, state management, and observability for complex automated workflows. Familiarity with cloud infrastructure, Kubernetes, and CI CD helps bridge software and AI operations.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Nimble provides fully autonomous fulfillment centers powered by AI robotics, per the company.