Product Engineer - SiC Manufacturing & Yield

US01 Wolfspeed, Inc.; Durham (NC); On-site; USD 95,000 - 130,000; Full time

Job summary

Wolfspeed Materials and Epi Business seeks a hands-on Product Engineer to own the Materials and Epi manufacturing value stream, collaborating with manufacturing, engineering, quality, and R&D to resolve complex process and yield challenges.

You will develop control parameters, monitor process variation, support NPI and technology transfers, and lead improvement projects using Lean, Six Sigma, DOE, and data analytics tools like Power BI, JMP, Tableau, SQL, or Python.

Qualifications

• Bachelor's or Master's degree in a relevant engineering field.
• 2+ years of manufacturing experience focused on process, equipment, or materials yield and quality improvements.
• Strong analytical, statistical, organizational, and problem-solving capabilities.
• Experience with Microsoft Office, Power BI, and data analysis tools.
• Ability to work effectively in cleanroom and non-cleanroom environments.
• Strong written and verbal communication skills.

Responsibilities

• Lead yield improvement, defect reduction, reliability enhancement, and cost-reduction projects.
• Develop and maintain Process FMEAs, Control Plans, SPC strategies, Cp/Cpk.
• Perform advanced data analytics using Power BI, JMP, Tableau, SQL, Python.
• Partner with R&D teams to define, qualify, and transition new technologies into volume production.
• Document, summarize, and communicate project status to stakeholders.

Skills

Analytical

Statistical analysis

Problem solving

Communication

Data analysis

Power BI

Python

Education

Bachelor's or Master's in Engineering or Materials Science

Tools

JMP

Tableau

SQL

Python

Minitab

Job description

Wolfspeed Materials and Epi Business seeks a hands-on Product Engineer to own the Materials and Epi manufacturing value stream, collaborating with manufacturing, engineering, quality, and R&D to resolve complex process and yield challenges.

You will develop control parameters, monitor process variation, support NPI and technology transfers, and lead improvement projects using Lean, Six Sigma, DOE, and data analytics tools like Power BI, JMP, Tableau, SQL, or Python.