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SMT Equipment Engineer_ME

Bosch • English • Electronics Manufacturing • Sensors & Transducers • Python • Power BI • 1 day ago
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Location
In office (Changzhou)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 21, 2026. Bosch scores B on the Alion truth index.

Overview
Company
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Profile match

Bosch

Bosch is a German engineering and technology group founded in Stuttgart in 1886 by Robert Bosch as a workshop for precision mechanics and electrical engineering. It is the largest automotive supplier in the world, making braking, steering, powertrain, sensor and driver assistance systems for nearly every carmaker, and it also produces power tools, home appliances through BSH, industrial drives through Rexroth, and building security and heating systems. Around ninety per cent of the company is owned by a charitable foundation, an ownership structure that gives it unusual freedom to invest across long research cycles including semiconductors and hydrogen.
bosch.com • HQ: Gerlingen, Germany • HVAC & Refrigeration • Industrial Automation • Sensors & Transducers • Motors, Drives & Motion Control • Home Appliances • Tools & DIY Supplies • Automotive Components • 5000+ employees • Est. 1886
Tech stack of Bosch

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

  • Responsible for equipment installation, commissioning, routine maintenance, troubleshooting, and performance optimization
  • Develop and execute Preventive Maintenance (PM) plans and predictive maintenance to improve Overall Equipment Effectiveness (OEE)
  • Collect and clean equipment operation data (e.g., PLC, Server, MES, and sensor data)
  • Apply statistical analysis and data mining techniques to identify equipment failure patterns and performance degradation trends to support the implementation of Predictive Maintenance (PdM)
  • Develop and apply AI-based tools or scripts for equipment monitoring, failure alerting, and anomaly detection and build and maintain equipment data dashboards (e.g., Power BI, Tablea)
  • Training of technicians based on business requirements and improves the competence of technician team continuously
  • Create maintenance (corrective/preventive/predictive maintenance) related work instruction for equipment and maintenance and optimization continuously
  • BPS activity implementation
  • Professional problem-solving method (PSS)
  • Other tasks assigned from manager

Bachelor/College or above

2 years

  • Equipment principles
  • Data mining and analysis
  • Python
  • Database
  • Communication and data acquisition
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