The Manufacturing Engineer is responsible for developing, improving, and optimising manufacturing processes to ensure efficient production, high quality, and cost-effectiveness. This role involves working closely with Design, Production, NPI & Quality teams to implement process improvements, introduce new products, and ensure smooth production operations.
Key Responsibilities:
- Develop, evaluate, and improve manufacturing processes for safety, efficiency, and quality.
- Design and implement process layouts, Line balancing, tooling, jigs, and fixtures.
- Conduct Customer input requirements, check the manufacturing feasibility, Bom Review & MFG Cost preparation for PCBA & Box build assemblies
- Analyze production data to identify areas of improvement and cost reduction.
- Collaborate with Sourcing, design teams for New Product Introduction (NPI).
- Support root cause analysis and implement corrective actions for process-related issues.
- Develop standard operating procedures (SOPs), work instructions, and process documentation.
- Evaluate equipment performance and support preventive maintenance initiatives.
- Ensure compliance with safety, environmental, and quality standards (ISO, Lean, Six Sigma, etc.).
- Lead continuous improvement projects using Lean and Six Sigma methodologies.
- Provide technical support and training to production teams.
Qualifications & Requirements:
- Bachelor’s degree in Mechanical, Industrial, or Manufacturing Engineering (or related field).
- 2–5 years of experience in manufacturing or process engineering.
- Knowledge of Lean Manufacturing, Six Sigma, and Kaizen principles.
- Proficiency with CAD software (AutoCAD, SolidWorks, or similar).
- Strong analytical and problem-solving skills.
- Experience with ERP systems preferred.
- Excellent communication and teamwork skills.
Preferred Qualifications:
- Certification in Lean Six Sigma (Green Belt or higher).
- Experience in process automation
- Work experience in EMS for PCBA & Box build Mfg for Automotive, Aerospace & Medical products
- Hands-on experience with PFMEA, control plans, and statistical process control (SPC) & MSA
Key Performance Indicators (KPIs):
- Reduction in manufacturing cycle time and waste.
- Improvement in process yield and product quality.
- On-time completion of process improvement projects.Cost savings achieved through process optimisation.