Yield Engineer

Job Summary:

We are seeking a highly skilled and motivated Semiconductor Photonics Yield Improvement Engineer to join our team. In this role, you will identify, analyze, and resolve yield-related challenges within our photonics manufacturing processes. The ideal candidate will possess a deep understanding of III-V semiconductor photonics device physics and manufacturing, exceptional problem-solving abilities, and a commitment to continuous improvement.

Key Responsibilities:

• Yield Analysis: Analyze production data to identify yield detractors, implement corrective actions, and enhance overall performance.
• Process Optimization: Develop and execute process improvements to boost yield and minimize variability in photonics semiconductor manufacturing.
• Failure Analysis: Conduct detailed electrical and physical failure analyses to determine root causes of yield loss and drive corrective measures.
• Cross-Functional Collaboration: Partner with process engineers, design engineers, and quality assurance teams to resolve yield-related issues effectively.
• Data Management: Maintain comprehensive yield data for both released and R&D products, generate insightful reports, and present findings to stakeholders.
• Technology Integration: Stay informed about industry advancements and integrate new technologies and methodologies to improve yield performance.
• Continuous Improvement: Lead initiatives to enhance production efficiency and product quality across the organization.

Person Specification:

Required:

• PhD in Physics, Optics, Electrical Engineering, Chemistry, Material Science, or a related field.
• Hands-on experience in manufacturing processes for III-V photonic devices, optical semiconductor devices, lasers, or similar technologies.
• Proven ability to conduct failure mode analysis, root cause investigations, and resolve yield and quality issues.
• Willingness to work across time zones and travel internationally to support project development and process deployment.
• Familiarity with Statistical Process Control (SPC) and Six Sigma methodologies for process development and control. Proficiency in tools like MS Excel or Minitab is highly desirable.
• Strong skills in Python scripting and large-scale data analysis.

Personal Attributes:

• Self-motivated with a strong sense of ownership and attention to detail.
• Proactive, innovative, and adaptable team player, capable of working independently.
• Strong problem-solving skills and the ability to prioritize tasks to meet business needs.
• Excellent communication and interpersonal skills, with a collaborative approach to teamwork.
• Thrives in a fast-paced, dynamic manufacturing environment and is capable of maintaining composure under pressure.

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