Job Details

Hardware Engineer, Surface Science and Engineering, Quantum AI

corporate_fare Google place Goleta, CA, USA

Apply

Minimum qualifications:

• Bachelor's degree in materials science, physics, chemistry, spectroscopy, or a related field.
• 3 years of experience in research and development with material process and analysis in semiconductor fabrication field in a clean room environment.
• Experience in surface treatment and analysis using different sources and techniques.
• Experience in handling vacuum and ultra-high-vacuum equipment.

Preferred qualifications:

• PhD degree in materials science, physical chemistry, physics, spectroscopy, or cross trained related fields, or equivalent practical experience.
• 5 years of experience in research and development or production environments with surface treatment and analysis skills in the semiconductor fabrication field.
• Experience in handling vacuum and ultra-high-vacuum equipment for etching, cleaning, treatment, and analyzing surface/interface chemistry and structures.
• Experience with data analysis software, process control, and SOP writing.
• Excellent communications and presentation skills.

About the job

Google Quantum AI's mission is to build and unlock solutions to problems, and the team's roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

As a hardware engineer, you will bring your surface analysis experience to help optimize fabrication processes using characterization techniques. The advanced investigative techniques, such as AFM, AFM-IR, SIMS (D-SIMS and TOF-SIMS), TDS, XPS, SEM/EDX, will be your key tools in accomplishing your daily tasks. You will also be comfortable with developing prototypes for surface treatment (using plasma and ion-beams) with in-situ analysis devices, maintaining, and stabilizing the process flow and equipment. This role is crucial to our success as we continue to improve the performance, coherence, and reliability of our devices. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations.

The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Transfer compensation is determined algorithmically and is non-negotiable. Your recruiter will share more about the specific salary for your targeted location during the hiring process.

Responsibilities:

• Develop strategy and detailed characterization techniques and procedures for thin films, surface defects, surface/interface chemistry, and materials structures.
• Design and execute experiments using instruments such as AFM, AFM-IR, SIMS (D-SIMS and TOF-SIMS), TDS, XPS, SEM/EDX, including data analysis.
• Design and execute the design of experiments (DOEs) for surface treatment and analysis processes to reduce surface contamination and defects.
• Work with device and fabrication teams to correlate analysis results with device performance, fabrication procedures, and co-develop strategies for device performance improvements.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.