Yield Engineer

Yield Engineer - Suffolk, UK

Highly competitive salary plus benefits

MicroTECH Global have partnered with a Globally well-known company. They are looking for someone who will be responsible for identifying, analyzing, and resolving yield-related issues in our photonics manufacturing processes.

This role requires a deep understanding of III-V semiconductor photonics device physics and manufacturing process, strong problem-solving skills, and a passion for continuous improvement.

Key Responsibilities:

• Yield Analysis: Perform detailed analysis of production data to identify yield detractors and implement corrective actions.
• Process Optimization: Develop and implement process improvements to enhance yield and reduce variability in photonics semiconductor manufacturing.
• Failure Analysis: Conduct electrical and physical failure analysis to determine root causes of yield loss and drive corrective actions.
• Collaboration: Work closely with cross-functional teams, including process engineers, design engineers, and quality assurance, to resolve yield-related issues.
• Data Management: Maintain and analyze yield data of both released products and R&D products, generating reports and presenting findings to management.
• Technology Integration: Stay current with industry trends and integrate new technologies and methodologies to improve yield performance.
• Continuous Improvement: Lead continuous improvement initiatives to enhance overall production efficiency and product quality

To be considered you will need to have the following:

• PhD Degree in Physics, Optics, or related field (e.g. Electrical Engineering, Physics, Chemistry, or Material Science).
• Experience working with Manufacturing in such areas as: III V Photonic Devices, optical semiconductor devices, Laser, etc.
• Demonstrated failure mode analysis, root cause investigation, and problem solving for product yield and quality issue is a plus
• Ability to work across time zones with partners and for international business travel as required to support project development, and test process deployment
• Familiarity with Statistical Process Control (SPC), and 6 sigma concepts for process development and control. MS Excel and or Minitab highly desirable.
• Python scripting skills and large data analysis.

Please get in touch with Christina McGuire to hear more!