Yield and Integration Engineer

Teledyne Technologies is seeking a Yield and Integration Engineer to join their team in Goleta, CA. This role combines data engineering with semiconductor process analysis, offering a unique opportunity to work at the intersection of data science and manufacturing technology.

The position involves collecting and analyzing process and metrology data to drive yield improvements in semiconductor manufacturing. Working under the Detector Yield and Data Engineering Manager, you'll be responsible for implementing data-driven solutions using technologies like Python, SQL, and various statistical analysis tools.

The ideal candidate will have a strong background in both semiconductor processing and data analysis. You'll work in a cleanroom environment and utilize advanced analytical tools including SEM/FIB, optical microscopy, and various fault isolation techniques. The role requires a combination of technical expertise in data analysis and practical understanding of semiconductor manufacturing processes.

Key aspects of the role include:

• Data mining and analysis using Python, SQL, and statistical tools
• Implementing Statistical Process Control (SPC) methods
• Conducting failure analysis using advanced analytical equipment
• Collaborating with cross-functional teams to improve manufacturing processes
• Applying structured problem-solving methods like Six Sigma and DMAIC

The position offers competitive compensation ranging from $90,800 to $121,100, based on experience and qualifications. Teledyne provides a professional environment focused on innovation and high ethical standards, making it an excellent opportunity for someone looking to advance their career in semiconductor manufacturing and data engineering.

The company's work impacts various crucial industries including aerospace, defense, environmental monitoring, and medical imaging, offering the chance to contribute to meaningful technological advancement. This role would be ideal for someone who enjoys combining hands-on technical work with data-driven decision making in a high-tech manufacturing environment.