Job Description

Minimum qualifications:

• 5 years of experience maintaining and repairing semiconductor fabrication equipment.
• 5 years of experience with photolithography, vacuum/plasma tools, or packaging equipment (e.g., wire bonders).
• 5 years of experience working with hazardous chemicals and electrical systems in a manufacturing setting.

Preferred qualifications:

• Experience with electro-mechanical measurements (oscilloscopes, generators, calipers, etc.) and CAD software (KiCad, Solidworks, AutoCAD).
• Experience with etch (ICP/RIE) and deposition (PVD/evaporation) systems, including high-vacuum technology, RF power supplies, and toxic gas delivery systems.
• Proficiency in troubleshooting vacuum, pneumatic, mechanical, electrical, and software systems, ideally down to the component level.
• Ability to read complex schematics (electrical, pneumatic, P&ID) and perform component-level repairs on electronics, robotics, and vacuum sub-systems.
• Ability to work in a cleanroom environment wearing full PPE.
• Demonstrated success in managing equipment installations or major upgrades, including vendor selection, facilities coordination, and acceptance testing (FAT/SAT).

About the job

The Quantum Equipment Engineering team ensures the installation, reliability, and optimization of the manufacturing fleet used to produce high-quality quantum devices.

As an Equipment Engineer, you will own the performance of complex semiconductor tools within our fabrication facility. You will lead root-cause troubleshooting, manage vendor relationships, and drive continuous improvement projects to maximize tool availability.

Beyond maintenance, you will analyze failure modes and implement upgrades. Your technical expertise and safety-first mindset will ensure our facility maintains the precise stability required for Quantum Computing breakthroughs.

The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.
The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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
The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

• Perform complex preventative maintenance, diagnostics, and repairs to ensure the maximum uptime and optimal performance of critical fabrication tools.
• Lead the scoping, evaluation, and procurement of new process equipment tailored for quantum manufacturing, and drive the qualification of these tools.
• Manage equipment installations, retrofits, and upgrades, serving as the primary technical liaison with external vendors to ensure effective project execution.
  
• Support operations across multiple local facilities, including shared research labs, ensuring consistent equipment standards and seamless workflow between sites.
  
• Analyze tool reliability data to optimize maintenance schedules, enhance equipment availability, and support process engineering requirements.