Staff Semiconductor Thin Films Process Engineer, Raxium
- Location
- Fremont, CA, USA
- Work model
- On-Site
- Level
- Staff
- Salary
- $188k – $274k/yr
- H-1B history
- 2,460 approvals (FY2023)
- Posted
- 2h ago
About this role
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google .
Develop and sustain new processes associated with thin film deposition tools including sputtering, PECVD, e-beam, PVD, and others. Manage process control and defectivity reduction to deliver yield improvements. Work with the Process Engineering team to select our next-generation of tools needed for volume manufacturing. Collaborate with the Integration team to develop new process capabilities that address new design requirements.
Minimum qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience. 5 years of experience in the semiconductor industry maintaining equipment, such as ICP, PVD, or CVD. Experience with conventional microfabrication techniques, including lithography, etch, thin-film deposition, and metrology. Experience with data analysis and reporting. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP). Experience in data analysis in quality reliability (tools like JMP). Experience with microdisplay or microLED technology. Understanding of statistical process control and process improvement, including implementation experience.