Tata Electronics
Website:
tata.com
Company:
https://www.linkedin.com/company/tataelectronicspvtltd
Seniority: Not Applicable
Industries: Manufacturing
Job details:
About The Business
Tata Electronics Private Limited (TEPL) is a greenfield venture of the Tata Group with expertise in manufacturing precision components.
Tata Electronics (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building India’s first AI-enabled state-of-the-art Semiconductor Foundry. This facility will produce chips for applications such as power management IC, display drivers, microcontrollers (MCU) and high-performance computing logic, addressing the growing demand in markets such as automotive, computing and data storage, wireless communications and artificial intelligence.
Tata Electronics is a subsidiary of the Tata group. The Tata Group operates in more than 100 countries across six continents, with the mission 'To improve the quality of life of the communities we serve globally, through long term stakeholder value creation based on leadership with Trust.
Job Summary
We are seeking an experienced and technically proficient Manufacturing Systems Engineer to lead the development, implementation, and continuous improvement of factory information systems in a high-tech semiconductor manufacturing environment. This senior-level role is pivotal in designing and deploying data-driven tools that enhance equipment management, factory reporting, and automation efficiency. The ideal candidate will be an expert in Manufacturing Execution Systems (MES), with a strong background in automation requirements, system validation, and cross-functional collaboration with IT and engineering teams. Strong competence in coding in Python and similar languages relevant to factory reporting is essential. This role requires a proven track record of leading technical teams and delivering complex system solutions in a fast-paced manufacturing environment.
Key Responsibilities
Factory Systems Development & Integration:
- Collaborate with IT and automation teams to define system architecture and data flow for manufacturing systems.
- Design, develop, and deploy factory reporting tools and equipment management dashboards to support real-time decision-making.
- Lead the integration of MES with factory equipment, data collection platforms, and other enterprise systems.
Automation & Tool Control
- Define automation requirements for new and existing manufacturing processes.
- Translate operational needs into functional specifications for software and system development.
- Drive implementation of automation solutions that improve factory throughput, yield, and equipment utilization.
System Validation & Performance Monitoring
- Develop acceptance criteria and testing methodologies to validate the accuracy, reliability, and performance of manufacturing systems.
- Conduct system audits and performance reviews to ensure compliance with operational standards.
- Troubleshoot and resolve system issues in collaboration with IT, process engineering, and equipment teams.
Cross-Functional Leadership
- Act as the technical liaison between manufacturing, IT, and engineering departments.
- Lead cross-functional projects to implement new system capabilities and enhancements.
- Provide training and documentation to ensure effective system adoption and usage.
- Mentor junior engineers and lead technical teams in the execution of strategic initiatives.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Industrial Engineering, or a related field.
- 7+ years of experience in semiconductor manufacturing systems, MES, or factory automation.
- Proven leadership experience managing technical teams and delivering complex system solutions.
- Deep understanding of MES platforms (e.g., Camstar, Applied SmartFactory, Fab300).
- Experience with equipment integration, data acquisition, and factory control systems.
- Strong programming/scripting skills (e.g., SQL, Python, JavaScript) and familiarity with databases and APIs.
- Excellent problem-solving, communication, and project management skills.
Preferred Skills
- Experience with Industry 4.0 technologies, digital twins, or advanced analytics in manufacturing.
- Familiarity with SEMI standards (e.g., SECS/GEM, EDA).
- Knowledge of IT infrastructure, cybersecurity, and cloud-based manufacturing solutions.
- Certification in project management (e.g., PMP, Agile) or Six Sigma.
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