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Ultra is seeking a reliability engineer to run the reliability program for robots deployed in warehouses. You will own triage, assignment, fixes and verification of field problems, from bench to production line, with hands-on debugging across software, firmware, electrical hardware and networking.
You will read schematics, build test rigs, and apply structured reliability methods while teaching them to others.
This role runs the reliability program for robots already working in warehouses, owning how field problems get triaged, assigned, fixed and verified. It also requires hands on debugging across software, firmware, electrical hardware and networking, at the bench and in the terminal. A strong candidate has years of experience integrating or supporting complex electromechanical systems, builds test rigs, reads schematics, and applies structured reliability methods while teaching them to others.
The robots themselves are AI driven, so the work centers on keeping those systems dependable in live production. AI tools can speed up log analysis and pattern finding across fleet data, but proving a root cause and deciding what to fix first still rests on human judgment. The role stays human in the field context, the supplier conversations, and the discipline of closing issues with evidence.
Working here means gaining direct exposure to AI robots doing real warehouse work and to the production data they generate. Reliability practice grows through fleet scale debugging, failure tracking and test bench work tied to actual deployments. Building skill in diagnostics automation and data driven failure analysis would fit well with how this company operates.
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.
Ultra makes OP1, a multi-purpose AI robot for industrial warehouse work, per the company.