7 个优质pilot program职位（正在招聘！）

Maintenance Engineer-Intelligent Maintenance_PS_RBCD
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Maintenance Engineer-Intelligent Maintenance_PS_RBCD

Bosch Group -
无锡市

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职位详情

完整职位描述

Company Description

Bosch Powertrain Systems Co., Ltd. (RBCD), the joint venture of Robert Bosch GmbH and Weifu High Technology Group Co., Ltd., is a high tech enterprise specializing in the development, production and sales of common rail systems, exhaust gas after treatment systems, fuel cell stacks and key components. The company, based on its local R&D and project management competence, with innovative technologies, can support customers to continuously improve internal combustion engines efficiency, to reduce emission, and to accelerate the market launch of new energy products. The garget of the company is to provide the Chinese market and customers with diversified advanced powertrain products.

Job Description

Job Summary

Takes responsibility for maintenance of defined MAE
Focused on the maintenance and repair of machines related to fuel cell business
Ensuring the efficient operation of equipment, promptly addressing technical issues, and participating in equipment optimization and improvement.
In addition, actively explores and drives the transition from traditional to intelligent maintenance by leveraging PLC software, equipment interconnectivity, and digital tools to achieve predictive and proactive maintenance.

Roles and Responsibilities

Main maintenance KPI of responsible machines

Malfunction regular review
Leading problem solving of key malfunction, utilizing PLC software for deep-level fault diagnosis and program optimization.
KPI PDCA L3/L4 preparation
Activities for machine performance stabilization and continuous improvements, including data-driven analysis and digitalization initiatives.
Spare parts preparation

Defining spare parts
Tracking spare parts abnormal usage.
Working at alternative solution if spare parts not available.
Support spare parts localization project
Organizing repaired key spare parts try-out
Maintenance competence development for responsible machines

Record and analyze equipment failure data, providing improvement recommendations. (Explore data pattern for predictive maintenance)
Following the competence development plan
Attending know-how exchanging activities in IPN
Train and guide other team members to enhance equipment maintenance skills. (Promote digital and intelligent maintenance awareness within the team)

Collaborate with suppliers and internal teams to ensure timely repairs and technical support.
Performing at TPM activity from maintenance

Regular review and update of PM items
Key malfunction (long breakdown or repeated problem) summary (PSS) and defining standard reaction plan for same problem (error search plan), preferably digitizing these plans into system-based decision trees.
Joining TPM activities, taking a main role in TPM review meeting, supporting to improve TPM maturity
Supporting planning and releasing of new investment machines

Supporting technical specification defines for the new investment machine. (Ensure new machines meet interconnectivity and data acquisition standards for intelligent maintenance)
Reviewing and summarizing historical machine problem and machine concept failure and related improvements; Evaluating the MAE potential improvements
MAE releasing and MAE A/B/C classification according the standard check list.
Supporting MAE commissioning
Technical preparation for machine overhauling

Preparing the evaluation check list for machine overhauling
Preparing the overhauling proposal
Coordinating the overhauling project

Contributing to cross-functional improvements, Eg.CO2 reduction, System CIP projects, Shop floor CIP projects, etc.
[Preferred] Explore and pilot emerging technologies (e.g., AI algorithms, machine learning) in equipment condition monitoring and predictive maintenance to adapt to rapid technological iterations.

Qualifications

Education degree: Bachelor or Master degree in Mechanical Engineering, Electrical Engineering, Computer Science or a related field.
Total working experience > 5 year
Maintenance related working experience >3 years
Strong fault analysis and resolution skills. Solid foundation and hands-on experience in PLC software for troubleshooting and logic optimization.
Good teamwork and communication abilities.
Fluent English both in speaking and writing
Interest and foundational knowledge in equipment interconnectivity (IoT), data acquisition, and digital/intelligent maintenance systems.
Highly curious, open to trying new things, and embraces challenges to adapt to rapid technological changes.
(Preferred) Basic knowledge or strong passion for Artificial Intelligence (AI), machine learning, or data analytics, with a willingness to apply them in industrial maintenance scenarios. Candidates with relevant hands-on experience or self-driven AI learners will be given priority.

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pilot program 个职位

Maintenance Engineer-Intelligent Maintenance_PS_RBCD

SAP Solution Architect

Regional Market Access Manager (Location: Fuzhou)

Director, Food & Beverage Business Development, GC (one year contract)

NPI Engineer, Electrical, OCS

Devices Senior Electrical Engineer, R&D

Category Manager(Cable&Connector&Electronics)

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