Intern-Autonomation
Based at MAS Intimates Rathmalana
The Bodywear Value Stream of MAS Holdings delivers end-to-end design, innovation and manufacturing solutions across lingerie, swimwear and next-to-skin categories. It brings together broad expertise in fit, comfort, performance and aesthetics to serve leading global brands at scale.
With design and innovation hubs in Sri Lanka, the USA, Canada and Hong Kong and manufacturing operations across Sri Lanka, Bangladesh, India, Vietnam, Indonesia and Kenya, Bodywear offers a diverse portfolio spanning bras, briefs, shapewear, sleepwear, performance bodywear and Olympic grade swimwear. The value stream portfolio includes Victoria’s Secret, Calvin Klein, Marks & Spencer, Triumph, Speedo and Aerie. Positioned as a global centre of excellence, the Bodywear Value Stream combines advanced product innovation, technology-led solutions and operational scale to meet evolving consumer expectations across intimate and swim categories.
This role will enable you to support the design, development, and implementation of autonomation solutions across the manufacturing value chain.
Key Responsibilities:
- Support data collection on operation cycle times, production quantities, and process efficiency for feasibility and ROI analysis
- Assist in conceptual design activities through brainstorming, research, and basic risk analysis (e.g., FMEA support)
- Support mechanical, electrical, and pneumatic system designs using CAD tools
- Assist in developing flowcharts or basic state-machine logic for machines
- Help with PLC / embedded system programming support and debugging under supervision
- Assist in preparing machine documentation and user manuals
- Support training sessions for machine users and operators
- Conduct market and technology research related to manufacturing autonomation
- Ensure compliance with company policies, safety standards, and engineering best practices
Qualifications:
- Undergraduate (or recent graduate) in Mechanical Engineering, Electrical / Electronic Engineering, Mechatronics Engineering, Automation / Robotics / Industrial Engineering
- Academic knowledge or project exposure to automation or manufacturing systems
