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

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