Factory Automation and Smart Manufacturing Manager

Best NanoTech

Ahmedabad District

On-site

INR 4,500,000 - 7,500,000

Full time

11 days ago
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Job summary

Best NanoTech in Ahmedabad is seeking a Factory Automation and Smart Manufacturing Manager to drive automation strategy and deployment in a high-volume semiconductor facility.

You will own plant automation, material handling, ASRS, AGV/AMR, robotics, and Industry 4.0 initiatives, leading a multidisciplinary team and collaborating with MES/ERP systems to improve productivity and quality.

Qualifications

  • Bachelor's or Master's degree in Electrical, Electronics, Automation, Instrumentation, Mechatronics or related discipline.
  • 12–18 years of experience in factory automation, smart manufacturing, or automated material handling.
  • At least 5 years leading automation teams or large-scale programs.

Responsibilities

  • Lead site-wide factory automation and smart-manufacturing strategy.
  • Oversee automation projects from design through commissioning and production release.
  • Manage automated material handling systems (ASRS, AGV/AMR, robotics).
  • Integrate automation with MES, ERP and warehouse-management platforms.
  • Establish safety controls, budgets, schedules and acceptance criteria.

Skills

Engineering leadership
Program management
Cross-functional collaboration
Problem solving

Education

Bachelor's or Master's in Electrical/ Electronics/ Automation/ Instrumentation/ Mechatronics

Tools

PLC programming
SCADA
HMI
Servo & motion control
Industrial ethernet
OPC UA

Job description

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
  • 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
  • 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
  • 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
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