Yield & Quality Engineer, UHP Photonics Lasers

Lumentum; Greensboro (NC); On-site; USD 90,000 - 166,000; Full time

Job summary

Lumentum seeks an experienced Yield & Quality Engineer to improve yield in ultra-high-power semiconductor laser chip fabrication. You will analyze large datasets, lead root-cause investigations, and work with R&D, process, and manufacturing teams to resolve complex quality issues.

The role requires strong device physics knowledge, DOE experience, and proficiency in JMP/Python/SQL for data mining. A PhD with 5+ years, MS with 8+ years, or BS with 10+ years is expected, with a competitive salary

Qualifications

• Degree in Electrical Engineering, Physics, Chemistry, Materials Science, or related field.
• Ph.D. with 5+ years, MS with 8+ years, or BS with 10+ years in industry.
• Experience in semiconductor lasers, photonics, or compound-semiconductor fabrication.

Responsibilities

• Drive yield improvement through analysis of manufacturing, test, and device data.
• Identify yield limiters and process excursions via large dataset analysis.
• Lead root-cause investigations and CAPA activities with structured problem solving.
• Design and execute DOE for process improvements in collaboration with R&D.
• Monitor yield, process, and quality metrics to spot trends and excursions.
• Participate in 8D, FMEA, SPC, and other quality-improvement activities.
• Collaborate with device engineering, wafer fabrication, manufacturing, and QA teams.
• Communicate findings and recommendations clearly to management.

Skills

Laser physics

Data mining

Statistical analysis

Python

SQL

JMP

Root-cause analysis

Cross-functional teamwork

Education

Ph.D. + 5+ years

M.S. + 8+ years

B.S. + 10+ years

Tools

JMP

Python

SQL

Job description

Lumentum seeks an experienced Yield & Quality Engineer to improve yield in ultra-high-power semiconductor laser chip fabrication. You will analyze large datasets, lead root-cause investigations, and work with R&D, process, and manufacturing teams to resolve complex quality issues.

The role requires strong device physics knowledge, DOE experience, and proficiency in JMP/Python/SQL for data mining. A PhD with 5+ years, MS with 8+ years, or BS with 10+ years is expected, with a competitive salary