Matrix Comsec
Senior Process Engineer
Skills
9 days ago
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Important information
Contract type:
Permanent
Location:
Vadodara, Gujarat, India
Work mode:
Onsite
Published on:
14 October 2026
What they need
Process Engineer will be responsible for developing and optimizing production processes to ensure the efficient, high-quality,
and cost-effective production of the products (IP cameras). Their expertise in process design, continuous improvement,
quality assurance, and automation helps manufacturers meet production targets, maintain product standards, and stay
competitive in the rapidly evolving IP camera market.
1. Process Design and Development:
- Manufacturing Processes: Design and develop efficient manufacturing processes for assembling IP
cameras, including PCB assembly, lens installation, and housing assembly.
- Tooling and Equipment: Select and design appropriate tooling, jigs, fixtures, and machinery required for
the manufacturing process.
- Process Documentation: Create detailed process documentation, including process flow diagrams, work
instructions, standard operating procedures (SOPs), and assembly guidelines.
2. Production Optimization:
- Lean Manufacturing: Implement lean manufacturing principles to minimize waste, reduce cycle times,
and improve overall efficiency.
- Continuous Improvement: Identify and execute continuous improvement initiatives using methodologies
such as Six Sigma, Kaizen, and Value Stream Mapping (VSM).
- Capacity Planning: Conduct capacity planning to ensure production lines can meet demand and
accommodate future growth.
3. Quality Assurance:
Quality Control: Develop and implement quality control processes to ensure that IP cameras meet
industry standards and customer expectations.
- Root Cause Analysis: Perform root cause analysis to identify and resolve defects or production issues.
- Statistical Process Control (SPC): Utilize SPC techniques to monitor and control production processes,
ensuring consistent quality.
4. Process Integration and Automation:
- Automation Systems: Design and integrate automation systems, such as robotic assembly lines,
automated optical inspection (AOI), and testing equipment, to enhance production efficiency and
consistency.
- PLC Programming: Develop and program PLCs (Programmable Logic Controllers) for automated control of
manufacturing processes.
- Integration: Ensure seamless integration of new processes and technologies with existing production
systems.
5. Safety and Compliance:
- Safety Standards: Ensure that manufacturing processes comply with industry safety standards and
regulations (e.g., OSHA, ISO).
- Risk Assessments: Conduct risk assessments and implement safety measures to protect workers and
equipment.
- Environmental Compliance: Ensure that processes adhere to environmental regulations and
sustainability goals, reducing waste and emissions.
6. New Product Introduction (NPI):
- Prototyping and Testing: Support the prototyping and testing of new IP camera models and components.
- Process Validation: Validate new manufacturing processes to ensure they meet design specifications and
performance criteria.
- Launch Support: Assist in the launch of new products, providing technical support and troubleshooting
during ramp-up.
7. Data Analysis and Reporting:
- Performance Metrics: Monitor key performance indicators (KPIs) to assess process efficiency,
productivity, and quality.
- Data Analysis: Use data analysis tools to identify trends, bottlenecks, and areas for improvement.
- Reporting: Generate reports and presentations to communicate findings and recommendations to
management.
8. Maintenance and Support:
- Preventive Maintenance: Develop preventive maintenance schedules to ensure the reliability and
longevity of manufacturing equipment.
- Troubleshooting: Diagnose and resolve issues with production processes and equipment, minimizing
downtime.
- Training: Provide training and support to operators and maintenance personnel on new processes and
equipment.
9. Innovation and Technology Adoption:
- Emerging Technologies: Stay updated with the latest advancements in manufacturing technology, such
as IoT, AI, and machine learning, and assess their potential application in IP camera manufacturing.
- Pilot Projects: Lead pilot projects to test and validate new manufacturing technologies and
methodologies before full-scale implementation.
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