Google

Runs Search and YouTube and builds Gemini AI

Fabrication Wet Etch Engineer - Quantum AI

Process EngineeringPosted on Nov 10

Full-timeGoleta, CA, USAIn-person

About the Job

Requirements

A bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field such as Optics, Sensors, or Audio/DSP, or equivalent practical experience.
At least 2 years of experience in cleanroom semiconductor fabrication.
At least 2 years of experience with wet chemical etching, solvent liftoff, photoresist strip, or wafer cleaning processes and equipment.

Responsibilities

Develop, optimize, and sustain cleanroom wet etch, solvent liftoff, photoresist strip, and wafer cleaning processes for superconducting quantum devices.
Specify, procure, qualify, and manage automated and benchtop wet processing equipment from installation through production release.
Monitor statistical process control trends, lead root cause investigations for process or equipment excursions, and reduce defects.
Collaborate across dry etch, thin film deposition, photolithography, and metrology teams to integrate and support multi-module fabrication flows.
Establish process change controls, write standard operating procedures, and train cleanroom technicians on development and production tools.
Develop, optimize, and scale cleanroom wet chemical and solvent processes used to build superconducting quantum processors.
Lead process development and production sustaining across automated solvent stations, acid and base wet benches, and wafer cleaning systems for metal liftoff, photoresist strip, surface preparation, and wet chemical etching.
Design experiments to widen process windows, reduce defects and cycle time, specify and qualify new wet process equipment, and collaborate with lithography, thin film, dry etch, metrology, and operations teams to transition processes from research into production.

Desired Qualifications

A master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field such as Optics, Sensors, or Audio/DSP.
At least 4 years of experience developing wet etch, solvent liftoff, or wafer cleaning processes in semiconductor research or manufacturing.
Experience qualifying and managing automated wet stations, acid or solvent benches, and chemical filtration or delivery systems.
Experience with defect and surface metrology, including scanning electron microscopy, atomic force microscopy, ellipsometry, and particle inspection, and data analysis using Python, SQL, or JMP.
Experience with design of experiments, statistical process control, manufacturing execution systems, or superconducting device fabrication.

Develop, optimize, and sustain cleanroom wet etch, solvent liftoff, photoresist strip, and wafer cleaning processes for superconducting quantum devices.
Specify, procure, qualify, and manage automated and benchtop wet processing equipment from installation through production release.
Monitor statistical process control (SPC) trends, lead root cause investigations for process or equipment excursions, and reduce defects.
Collaborate across dry etch, thin film deposition, photolithography, and metrology teams to integrate and support multi-module fabrication flows.
Establish process change controls, write clear standard operating procedures (SOPs), and train cleanroom technicians on development and production tools.

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 in cleanroom semiconductor fabrication.
2 years of experience with wet chemical etching, solvent liftoff, photoresist strip, or wafer cleaning processes and equipment.

Preferred qualifications:

Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
4 years of experience developing wet etch, solvent liftoff, or wafer cleaning processes in semiconductor research or manufacturing.
Experience qualifying and managing automated wet stations, acid or solvent benches, and chemical filtration or delivery systems.
Experience with defect and surface metrology (SEM, AFM, ellipsometry, particle inspection) and data analysis (Python, SQL, or JMP).
Experience with design of experiments (DOE), statistical process control (SPC), manufacturing execution systems (MES), or superconducting device fabrication.

Google Quantum AI is building quantum computing for otherwise unsolvable problems. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

As a Hardware Engineer on the Quantum AI Fabrication team in Goleta, California, you will develop, optimize, and scale cleanroom wet chemical and solvent processes used to build superconducting quantum processors. Quantum devices are sensitive to surface interfaces, oxides, and microscopic defects, making wet processing critical to device performance and yield. In this role, you will lead process development and production sustaining across automated solvent stations, acid and base wet benches, and wafer cleaning systems for metal liftoff, photoresist strip, surface preparation, and wet chemical etching. You will design experiments to widen process windows, reduce defects and cycle time, specify and qualify new wet process equipment, and collaborate with lithography, thin film, dry etch, metrology, and operations teams to transition processes from research into production.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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 in cleanroom semiconductor fabrication.
2 years of experience with wet chemical etching, solvent liftoff, photoresist strip, or wafer cleaning processes and equipment.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

Recently Posted Jobs

Explore more opportunities at Google

See more jobs