This role turns robot and fleet data into practical fixes. The work covers building dashboards and alerts, digging through telemetry and incident logs for repeat failures, and keeping robot configuration consistent across the fleet. A strong candidate has a few years in a data-heavy or reliability role, is comfortable with Python and time-series data, can read Linux logs, and writes clearly enough that engineers act on the findings.
How it fits the AI era
AI can help spot patterns in telemetry, flag unusual behavior early, and speed up the first pass through large piles of logs. The human part stays important: deciding which signals matter, judging whether a failure is a hardware, software or setup problem, and explaining the cost of an issue so the right team takes it on. Noticing what nobody reported still depends on curiosity and judgment.
How it builds AI experience
The company runs robots that feed an AI digital twin of the warehouse, so this role sits close to the data that keeps that picture accurate. Someone here would learn how fleet health data is gathered and used, and how early warning signals are built from real machine behavior. Building that experience beforehand could mean practicing anomaly detection on time-series data and learning basic ROS log reading.
Worth showing
- Python time-series analysis
- Dashboards people actually use
- Reliability or failure analysis
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.
About Dexory
Autonomous robots scan every pallet in a warehouse each day, per the company, and feed an AI digital twin, so a warehouse manager can see real stock levels instead of what the systems assume.
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Fleet Performance Engineer in Wallingford employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
