Overview As a Process Engineer at Prysmian, you will design, optimize, and sustain manufacturing processes for fiber optic cable production to ensure quality, efficiency, and compliance. You will partner with production, quality, and maintenance teams to troubleshoot issues, implement improvements, and support new product introductions. You will lead Lean and Six Sigma initiatives to cut waste and boost throughput while guiding cost-reduction efforts without sacrificing quality. Your work will span process development, documentation, and collaboration with R&D and vendors to advance fiber optic manufacturing. This role offers a meaningful chance to influence scale, technology, and product quality in/
Responsibilities- Design, implement and improve manufacturing processes for fiber optic cable production
- Analyze process data to identify inefficiencies and implement corrective actions
- Develop and maintain process documentation (SOPs and work instructions)
- Collaborate with Quality Assurance to resolve defects and maintain product integrity
- Work with vendors on equipment upgrades and maintenance strategies
- Collaborate with R&D on process requirements for new fiber optic cable designs
- Lead Lean and Six Sigma initiatives to reduce waste and improve throughput
- Support cost reduction projects without compromising quality
- Provide technical support to production teams for process-related issues
- Perform root cause analysis and implement permanent solutions
Key requirements- Bachelor in Mechanical, Electrical, Industrial or related Engineering field
- 1 year of practical manufacturing experience (internships or co-ops considered)
- Knowledge of extrusion, polymer processing, and optical fiber handling is a plus
- Strong analytical and problem-solving skills
- Familiarity with SPC and data analysis tools
- Familiarity with Lean Manufacturing and Six Sigma methodologies
- Excellent communication and teamwork abilities
- Ability to manage multiple projects in a fast-paced environment
- Excellent communication
- Teamwork
- Multitasking / managing multiple projects
- Statistical Process Control (SPC)
- Data analysis tools
- Lean Manufacturing
