Yield Staff Engineer

SkyWater is hiring a highly skilled and experienced Semiconductor Yield Staff Engineer to lead the integration of new technologies into our fab. The successful candidate will play a critical role in ensuring the smooth transition of new processes and technologies into production, with a primary focus on optimizing yield and quality.

Key Responsibilities:

• Lead the development and implementation of strategies for integrating new semiconductor technologies into the fab environment.
• Collaborate closely with cross-functional teams, including process engineers, device engineers, and manufacturing teams, to ensure seamless technology transfer and successful ramp-up to production.
• Design and execute experiments to characterize new processes and technologies, identifying potential yield-limiting factors and developing solutions to address them.
• Analyze yield data and perform root cause analysis to identify opportunities for improvement and drive continuous yield enhancement initiatives.
• Develop and maintain comprehensive yield models to predict and optimize yield performance for new technology nodes.
• Drive yield improvement projects through effective project management, including setting objectives, timelines, and milestones, and ensuring timely execution.
• Provide technical guidance and mentorship to junior engineers and technicians in yield analysis techniques and methodologies.
• Stay abreast of industry trends and emerging technologies, continuously evaluating their potential impact on yield and recommending appropriate actions.
• Work closely with equipment suppliers and external partners to evaluate new tools and technologies for potential adoption in the fab.

Required Qualifications:

• Bachelor's degree in Electrical Engineering, Materials Science, or related field; advanced degree (MS/Ph.D.) preferred.
• BS with 5 years, MS with 3 years, or PhD with 0-3 years of semiconductor yield engineering experience and technology integration.
• Proficient in semiconductor fabrication processes, including photolithography, etch, deposition, and metrology.
• Strong understanding of statistical analysis techniques and familiarity with yield modeling and simulation tools.
• Proficiency in data analysis and visualization tools such as JMP, Python, or R.
• Excellent problem-solving skills with a systematic approach to troubleshooting and root cause analysis.
• Effective communication and collaboration skills, with the ability to work cross-functionally and influence stakeholders at all levels.
• Proven ability to lead projects and drive initiatives to successful completion in a fast-paced, dynamic environment.
• Extensive hands-on experience in 90nm Bulk Silicon (Si) and Silicon-On-Insulator (SOI) technologies is a plus.