The Process & Manufacturing Engineer IT/OT Automation & AI is responsible for designing, developing and optimizing manufacturing processes by integrating industrial automation, digital technologies and advanced data-driven solutions. Acting as a bridge between Operational Technology (OT) and Information Technology (IT), this role supports new product launches, process development, continuous improvement initiatives and digital transformation projects. The position focuses on enhancing safety, quality, productivity, equipment performance and manufacturing efficiency through automation, data analytics, AI-driven applications and cross-functional collaboration with production, quality, engineering and sales teams.

• Support new product launches, process development and manufacturing improvements to achieve safety, quality, cost and productivity targets.
• Design and implement IT/OT integration solutions connecting production equipment, automation systems, MES, ERP and cloud platforms.
• Analyze manufacturing processes and production data to improve OEE, reduce waste and optimize operational performance.
• Develop and support automation, robotics, digitalization and AI-based solutions for process optimization, predictive maintenance and quality improvement.
• Collaborate with Engineering, Production, Quality and Sales teams in defining manufacturing strategies, industrialization plans, investment projects.
• Create and maintain manufacturing documentation, process standards, technical procedures, ensuring compliance with quality and safety requirements.
• Monitor equipment performance and identify opportunities to improve reliability, capacity, efficiency and ergonomics.
• Participate in product feasibility reviews and support continuous improvement initiatives across manufacturing operations.
• Coordinate digital transformation and Industry 5.0 projects, working with internal stakeholders and external technology partners.
• Contribute to cross-functional and international projects, applying structured problem-solving and engineering methodologies.

Education/experience

• Bachelor’s Degree in Engineering (Mechatronics, Automation, Industrial, Manufacturing, Computer Engineering or equivalent).
• 3+ years of experience in Manufacturing/Process Engineering, Industrial Automation or IT/OT integration within a manufacturing environment.
• Knowledge of manufacturing processes, automation systems, PLCs, SCADA/HMI and industrial communication networks.
• Familiarity with process improvement methodologies, OEE analysis, PFMEA and problem-solving tools.
• Basic knowledge of data analytics, industrial databases, and AI/Machine Learning applications is considered a plus.
• Strong analytical, project management and teamwork skills.
• Good command of English.
• Experience in the automotive or other global manufacturing environments is preferred.

 

-

 

Internal Use Only: Salary

Global Terms of Use and Privacy Statement

Carefully read the BorgWarner Privacy Policy before using this website. Your  ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms.

Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

Career Scam Disclaimer:  BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third-party website.  To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner.  Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online.  Job applicants are invited to contact BorgWarner through BorgWarner’s website to verify the authenticity of any employment opportunities.