Sanmina Corporation is looking to improve its printed circuit board (PCB) manufacturing by performing crucial production-related data analysis to identify strengths, weaknesses, yield trends, bottlenecks, process interdependencies, and opportunities for significant production enhancement.
Requirements
- Strong programming skills relevant to data analysis (e.g., Python, R, SQL).
- Proven ability to handle large datasets and perform in-depth data analysis.
- Demonstrated logical thinking, strong analytical, and effective problem-solving abilities.
- Experience using statistical software for engineering processes is highly desirable.
- Strong interest in yield engineering and some practical experience in this area is a significant plus.
- Familiarity with PCB, LCD, IC, and/or MEMS manufacturing processes is preferred but not mandatory.
Responsibilities
- Analyze production databases to drive tangible PCB production improvements and achieve significant cost reduction.
- Develop and implement innovative enhancements to existing production database systems.
- Integrate available databases to optimize data accessibility and maximize utilization across the organization.
- Thoroughly review and evaluate Sanmina PCB processes and capabilities to proactively identify key areas for improvement.
- Participate actively in the yield improvement program, contributing data-driven insights and analysis.
- Demonstrate a strong willingness to learn the intricacies of the PCB manufacturing process and actively contribute to its optimization.
Other
- BS or higher degree preferred in Electrical Electronics Engineering, Materials Science, Chemistry, Computer Science, Statistics, or a related field.
- Excellent communication skills, with the ability to clearly convey complex analysis results through effective data visualization.
- The candidate must meet ITAR requirements.
- applicant must be a US Citizen or a lawful permanent resident.
