Epitaxy Metrology Engineer, Augmented Reality
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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.
- 2 years of experience with metrology techniques in a semiconductor fabrication environment.
- Experience with various metrology tools and techniques, such as ellipsometry, profilometry, AFM, SEM, XRD.
- Experience with data analysis and statistical methods, such as statistical process control (SPC).
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 semiconductor metrology, with a focus on epitaxial materials.
- Experience working with external tool vendors to develop and improve metrology equipment and techniques.
- Experience with applying measurement systems analysis for assessing tool performance.
- Experience with semiconductor characterization techniques, and the knowledge of working principles and data interpretation.
- Proficiency in programming languages such as Python or MATLAB for data analysis and automation.
About the job
Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.
In this role, you will drive metrology learning and techniques for our next-generation display technology. This includes scaling our toolset for volume production as well as investigations into characterization tools to both understand and screen displays. You will engage in a high level of collaboration with process, device, and engineering groups.
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.
The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Employ existing and invent novel metrology methods to drive exceptional process development of monolithic display technology.
- Work with external tool suppliers for both new equipment development and improved problem-solving capabilities.
- Use best practices for metrology and measurement tool control and improvement, including driving a routine calibration program, measurement systems analysis (including gage Roles and Responsibilities), and SPC.
- Aid in the early adoption of best practices in process control by documenting techniques, training technicians and engineers, and engaging in continuous improvement of metrology procedures.
- Drive understanding of toolsets and analyses to make the most out of measurement data while also minimizing impacts to cycle time.
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