Senior Hardware Engineer, Yield Integration, Raxium

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or equivalent practical experience.
  
• 6 years of experience in yield engineering or process integration.
  
• Experience with statistical data analysis and yield modeling.
  
• Experience with failure analysis techniques and tools.

Preferred qualifications:

• Master's degree or Ph.D. in Electrical Engineering, Materials Science, Physics, or a related field.
  
• Experience working with microLED display technology, including fabrication, characterization, and yield improvement.
  
• Experience in a technical leadership role leading project teams and setting technical direction.
  
• Experience with semiconductor fabrication processes, including wafer processing, thin film deposition, and device characterization.

We are looking for a skilled Yield Integration Engineer to join our team. In this role, you will be responsible for investigating the causes of yield loss in our process technology and leading cross-functional teams to drive yield improvement to ensure that our manufacturing processes are optimized to produce the highest possible output of quality products.Google's Raxium display group has established a revolutionary semiconductor materials display technology that enables new functionality in display products, bringing to users a closer and more natural linkage between the digital and physical realms in applications such as augmented reality (AR) and light-field display. With start-up roots and a state-of-the-art compound semiconductor fab in Silicon Valley, Raxium is seeking to build upon its engineering team with an aim to disrupt next-generation display markets.

• Assess yield performance throughout the manufacturing process and establish failure paretos.
  
• Utilize statistical analysis and failure analysis methods to identify root causes of yield loss.
  
• Drive optimization of process specifications, tools, and binning strategies to maximize yield outputs while optimizing for cost and operations.
  
• Build correlations between inline monitors and test results to enable excursion detection and screening.
  
• Monitor and analyze yield data on an ongoing basis to identify trends, anticipate issues, and drive continuous improvement.