Robot Operations & Reliability Engineer

Job Description

Job Summary

Robot Operations & Reliability Engineer

• takes end-to-end responsibility for the operation management of collaborative robots — and, as the product roadmap evolves, humanoid robots — across industrial deployment scenarios,
• combines cobot system know-how with software and data capabilities to build data-driven robot operation standards, shorten downtime, and improve OEE, while driving industrial-scale deployment of proven solutions for fast replication across lines and plants.

Roles and Responsibilities

1. Own operation KPIs of assigned collaborative robot cells — and, as the portfolio expands, humanoid robot deployments —cycle stability, and technical loss reduction.
2. Solve practical operations-management issues across the full system-integration-to-industrialization journey: from pilot deployment, line integration, and process stabilization through to scaled rollout and cross-site replication.
3. Lead structured root-cause analysis for recurring faults and long downtime events; define standard reaction playbooks and CIP with field data.
4. Establish data collection and visualization for robot status, alarms, and process parameters; promote early-warning mechanisms and lay the data foundation for AI/ML-driven optimization.
5. Standardize spare parts strategy, abnormal consumption tracking, and localization support for critical components, including emerging humanoid robot modules
6. Coach team members on robot operation standards, troubleshooting logic, and digital tool usage; build organizational capability for the evolving collaborative and humanoid robot portfolio.
7. Contribute to TPM/CIP and cross-functional initiatives such as energy efficiency, quality improvement, and cost optimization.
8. Coordinate with suppliers, Development, and internal teams for rapid issue closure, technical upgrades, and process change alignment; bridge the gap between product development and industrial operations.

Qualifications

Qualifications Requirement

• Education degree:  Bachelor or Master degree in Mechanical Engineering, Electrical Engineering, Automation, Computer Science, Robotics, or related fields.
• Total working experience  > 5 year
• Related working experience >2  years

Job Relevant Knowledge and Experience

• Hands-on experience with collaborative robot systems and integration in production environments; exposure to humanoid robot platforms is a strong plus.
• Strong problem-solving and structured analysis skills for complex electromechanical and control issues.
• Practical understanding of manufacturing KPIs (OEE, FPY, cycle time, downtime loss) and improvement methods.
• Exposure to AI-assisted diagnostics, machine-learning-enabled equipment optimization, or LLM/VLM-driven robot applications is preferred.
• Strong communication and cross-functional collaboration skills.
• Fluent English both in speaking and writing

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