The Process Engineer is responsible for the design, optimization, and continuous improvement of manufacturing processes to ensure efficient, reliable, and high-quality production. This role will work closely with the assembly area, New Product Introduction (NPI) teams, and cross-functional departments to analyze, improve, and implement process changes. The focus will be on reducing quality issues, enhancing productivity, improving safety and ergonomics, and supporting cost-reduction initiatives.

• Design and optimize manufacturing processes to improve efficiency, productivity, capacity, and cost-effectiveness.
• Analyze process flows and equipment utilization, identifying and eliminating inefficiencies and bottlenecks.
• Conduct capacity modeling and cost analysis to support process improvements.
• Lead the implementation of continuous improvement initiatives using Lean Manufacturing, Six Sigma, and other methodologies.
• Implement error-proofing solutions (e.g., poka-yoke) to reduce defects and enhance quality.
• Identify areas for waste reduction and drive initiatives to improve throughput and resource utilization.
• Use engineering tools (e.g., mathematical modeling, process simulation, statistical analysis) to analyze and refine manufacturing processes.
• Design new processes or refine existing ones to eliminate non-value-added activities and improve efficiency.
• Analyze and optimize workflow layouts and equipment placement to maximize space utilization and improve process efficiency.
• Collaborate with cross-functional teams to design ergonomic workstations that improve productivity and safety.
• Lead and participate in problem-solving teams to resolve production issues, implementing root cause analysis and corrective actions to improve process reliability.
• Develop and implement corrective actions to address quality, safety, and efficiency concerns within the manufacturing processes.

• Bachelor’s degree in Industrial, Mechanical, or Process Engineering, or equivalent combination of education and experience.
• Proficiency with JIT, Poka Yoke, Kanban, Cell Layout, and other lean manufacturing principles.
• Strong analytical and problem-solving skills, including knowledge of probability, statistical analysis, and mathematical modeling.
• Ability to apply mathematical concepts such as fractions, percentages, ratios, and proportions to process optimization scenarios.
• Expertise in process mapping, flow chart creation, and using problem-solving methodologies like 8D and root cause analysis.
• Knowledge of statistical methods, design of experiments, and process failure mode analysis (PFMEA).
• Ability to interpret complex instructions (written, oral, or diagrammatic) and adapt them to practical applications in process engineering.
• Proven experience in leading teams and collaborating with cross-functional departments.
• Knowledge of ESD program management and process transfer methods is a plus.

• Beneficios de acuerdo a la LFT