Best NanoTech
Website:
bestpeo.com
Company:
https://www.linkedin.com/company/best-nanotech
Seniority: Mid-Senior level
Industries: Semiconductor Manufacturing
Job details:
Location: Ahmedabad, Gujarat, India
Work Mode: Onsite
Employment Type: Full-Time
Experience: 12 18 Years
Industry: Semiconductor / ATMP / OSAT / Advanced Manufacturing
Role Overview
We are looking for a Factory Automation and Smart Manufacturing Manager to lead automation strategy, deployment and operational support within a high-volume semiconductor manufacturing facility.
The role will own plant automation, automated material handling, ASRS, AGV/AMR, robotics, equipment connectivity and Industry 4.0 initiatives. The position requires strong engineering leadership and hands-on experience implementing integrated automation solutions in semiconductor, electronics or advanced manufacturing operations.
Key Responsibilities
- Develop and execute the site-wide factory automation and smart-manufacturing strategy.
- Lead automation projects from requirement definition and design through commissioning and production acceptance.
- Manage automatic material-handling systems, ASRS, AGVs, AMRs, robots and cobots.
- Implement automated solutions for material movement, storage, handling, inspection and traceability.
- Establish automation requirements, technical specifications, budgets, schedules and acceptance criteria.
- Coordinate equipment, controls, software, facilities, manufacturing and IT integration.
- Lead installation, commissioning, validation and production release of automation systems.
- Integrate automation systems with MES, ERP, warehouse-management and factory-data platforms.
- Improve factory productivity, equipment utilization, labour efficiency, quality and cycle time.
- Monitor automation availability, alarms, bottlenecks, downtime and system performance.
- Develop preventive, predictive and condition-based maintenance strategies for automation assets.
- Lead root-cause analysis and corrective actions for chronic automation and material-flow issues.
- Establish safety controls, risk assessments and compliance for robotics and automated equipment.
- Manage automation suppliers, system integrators, equipment vendors and service partners.
- Drive machine vision, industrial IoT, edge-data and AI-enabled manufacturing initiatives.
- Develop common automation standards, architecture, interfaces and Best Known Methods.
- Build and lead a multidisciplinary team of automation, controls, robotics and systems engineers.
- Present project performance, operational risks, investment requirements and improvement roadmaps to leadership.
Required Qualifications
- Bachelor s or Master s degree in Electrical, Electronics, Automation, Instrumentation, Mechatronics, Robotics, Mechanical Engineering or a related discipline.
- 12 18 years of experience in factory automation, smart manufacturing, industrial controls or automated material handling.
- At least 5 years of experience leading automation teams or large-scale automation programs.
- Experience in semiconductor, electronics, automotive, battery, pharmaceutical or other high-volume automated manufacturing.
- Demonstrated experience deploying AGV/AMR, ASRS, robotics or integrated material-handling solutions.
- Strong knowledge of PLC, SCADA, HMI, servo, motion-control and industrial communication systems.
- Experience integrating automation equipment with MES, ERP or warehouse-management systems.
- Proven ability to improve automation uptime, productivity, throughput and manufacturing efficiency.
- Experience managing system integrators, equipment suppliers, project budgets and implementation schedules.
- Ability to support automation escalations in a 24 7 manufacturing environment.
Technical Skills Factory Automation
- Plant automation strategy
- Automated manufacturing systems
- Production-line automation
- Material-flow automation
- Equipment integration
- Automated inspection
- Robotics and cobots
- Machine vision
- Pick-and-place systems
- Industrial safety systems
Automated Material Handling
- Automated Material Handling Systems
- Automated Storage and Retrieval Systems
- Automated Guided Vehicles
- Autonomous Mobile Robots
- Conveyor and transfer systems
- Robotic material handling
- Smart warehousing
- Warehouse Control Systems
- Fleet-management systems
- Material tracking and traceability
Controls and Industrial Systems
- PLC programming and diagnostics
- SCADA and HMI
- Servo and motion control
- Sensors and actuators
- Industrial robotics
- Pneumatics and electromechanical systems
- Safety PLCs and interlocks
- OPC UA
- Industrial Ethernet
- Modbus, EtherNet/IP or Profinet
Smart Manufacturing
- Industry 4.0
- Industrial Internet of Things
- Digital manufacturing
- Manufacturing data acquisition
- Edge computing
- Digital twins
- Artificial intelligence in manufacturing
- Predictive maintenance
- Condition monitoring
- Advanced manufacturing analytics
Semiconductor Factory Integration
- Manufacturing Execution Systems
- SECS/GEM
- Equipment connectivity
- Recipe and parameter management
- Product genealogy
- Shop-floor traceability
- Equipment state monitoring
- Automated dispatching
- Factory scheduling integration
- Cleanroom automation
Engineering and Improvement Tools
- Overall Equipment Effectiveness
- Mean Time Between Failures
- Mean Time to Repair
- Root-cause analysis
- 8D problem-solving
- FMEA
- Fault Tree Analysis
- Lean Manufacturing
- Six Sigma
- Total Productive Maintenance
#LI-SD1
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