Semiconductor Yield Engineer

RTX•Lompoc, CA

2d•Onsite

About The Position

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon Vision Systems is growing! RVS is a world leader in the research, design, and manufacturing of focal plane arrays and flight-based vision systems. We have an opportunity for a Semiconductor Yield Engineer to join a small team of senior-level yield engineers working on continuous technical progress and improvement while leveraging cross-functional representatives from the entire Operations team. This is an opportunity to utilize and expand your keen understanding of semiconductor processing, metrology, and failure analysis as well as your strong statistical analysis skills.

Requirements

Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience.
Manufacturing or Process Engineering experience is required.

Nice To Haves

Experience working with database infrastructures and performing data analysis including JMP, Minitab, Power BI, Tableau (or other related software).
Experience leading teams through yield improvement in a semiconductor manufacturing environment to include technical writing and presentation experience – as well as experience organizing and forging teaming partnerships with all levels of Operations and Manufacturing stakeholders.
Experience with high mix precision electromechanical/semiconductor products in a highly regulated Operations environment.
Experience with Design for Manufacturing process, rules, and implementation in high mix semiconductor manufacturing environment.

Responsibilities

Monitoring process and product yields across multiple wafer product lines.
Collaboration with all levels of stakeholders (chief engineers, product engineers, process engineers, technicians, etc.) to drive continuous improvement solutions.
Contribute to RCCA and yield improvement teams and assist with scoping strategic initiatives to improve future factory performance.
Perform statistical analysis of large datasets to drive the organization toward applied intelligence and more automated use of big data.
Identifying potential yield-limiting defect sources and defining structured problem-solving activities and mining in process equipment and metrology date, product data and characterization data to identify root cause and drive corrective actions.