What are the responsibilities and job description for the Process Engineer position at AFL?
AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $2B in revenue, and employ approximately 11,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.
What We Offer
The Process Engineer will be responsible for the design, optimization, and implementation of industrial processes for fiber optic product manufacturing. This includes improvements to safety, quality, efficiency as well as development of new product processes within the designated scope of responsibility.
Responsibilities
What We Offer
- Flexible time off policy
- 401K Company match (up to 4% - dollar for dollar)
- Professional development, training, and tuition reimbursement programs
- Excellent medical, dental, vision, and life insurance policy options
- Opportunities for career advance with an industry leading company
The Process Engineer will be responsible for the design, optimization, and implementation of industrial processes for fiber optic product manufacturing. This includes improvements to safety, quality, efficiency as well as development of new product processes within the designated scope of responsibility.
Responsibilities
- Select, design, and modify tooling, fixtures, and equipment as needed to improve safety, quality, throughput, and productivity objectives.
- Develop and continually improve written process and test work instructions.
- Design and implement shop floor layouts and workflows.
- Establish and lead training, development, and certification plans for production associates and engineering technicians.
- Identify, justify, plan, and lead continuous improvement and capacity expansion projects.
- Define, measure, and monitor process performance metrics to identify opportunities for product and process improvement.
- Work with internal and external suppliers of materials, equipment, and services to execute projects, resolve problems, and improve processes.
- Interact with customers on technical and quality related topics or issues.
- Improve housekeeping and safety by applying the 5S principles.
- Bachelor’s degree in mechanical engineering is preferred. Equivalent engineering degrees (electrical, chemical, materials, etc.) will be considered.
- 5 to 8 years’ experience in process engineering, manufacturing engineering, or machine / equipment design and integration.
- Experience with machine or precision mechanical assembly and test methods.
- Experience with shop floor material handling equipment.
- Experience with troubleshooting and repairing shop floor equipment.
- Experience with fiber optic assembly and test methods is preferred.
- Experience leading project and/or self-directed work teams.
- Experience with analyzing data and providing resolutions.
- Experience with Six Sigma Lean methodology is preferred.
- Ability to work in a face paced, high volume environment.
- Proficiency with MS Office Applications.
- Knowledge of ISO-9000 based quality systems.
- Knowledge of MRP/ERP systems.
- Working knowledge of SolidWorks, AUTOCAD or other CAD software.
- Team player with well-developed interpersonal skills who is comfortable in a cross-functional, multi-cultural environment.
- Self-starter with integrity and confidence who strives to achieve even the most challenging environments with limited supervision.
- Strong attention to detail, organization, time management and analytical skills.
- Effective communication, interpersonal, influencing, and teamwork skills.
- Strong leadership skills.
- Effective oral and written communication skills.
- Uses data analysis to drive and support decision making.