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Google
Goleta, California, United States
(on-site)
Posted
6 days ago
Google
Goleta, California, United States
(on-site)
Job Type
Full-Time
Packaging Manufacturing Engineer, Quantum AI
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Packaging Manufacturing Engineer, Quantum AI
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Minimum qualifications:- Bachelor's degree in Mechanical, Electrical, or Manufacturing Engineering or equivalent practical experience.
- 2 years of experience working with electronics packaging, including wire bonding, die preparation, or printed circuit boards (PCBs).
- 2 years of experience designing, manufacturing, or testing PCBs.
- 2 years of experience managing production processes (vendor management, continuous process improvements, tool ownership, or monitoring and control of existing processes).
- Experience using statistical process control (SPC) and design of experiments (DOE) to develop or improve manufacturing processes.
Preferred qualifications:
- Master's degree in Mechanical, Electrical, or Manufacturing Engineering or a related field.
- 2 years of experience in a semiconductor packaging environment.
- Experience with ESD sensitive devices.
- Experience with automated inspection and test.
- Experience in wirebonding processes (e.g., ball, wedge).
- Knowledge of Six Sigma or other lean manufacturing methodologies.
About the job
In the Device Packaging Group, we build custom packaging technologies for quantum processors, amplifiers, and other devices that operate from DC to microwave frequencies in a cryogenic environment. Our work includes research on quantum processor performance and qubit environment, design of novel packages and test articles, investigation of new technologies, and hardening of current technologies for deployment. Every Google Quantum AI processor comes through our lab for packaging before its deployment to the fleet.
As a Manufacturing Engineer, you will help ensure that Google Quantum AI's quantum computing systems can be built efficiently and operate reliably, ensuring a high velocity for research and development on quantum platforms. The Manufacturing Engineer will design and mature manufacturing, assembly, and related test processes. You will also implement Design for Manufacturing (DfM) and Design for Test (DfT) practices for PCB-based electronics, microwave components, and mechanical hardware. You will seek opportunities to graduate in-house procedures to productionize manufacturing, continuously improve the lead-time and quality performance of key partners, and provide technical input for our supplier strategy.
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 $132,000-$189,000 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
- Develop, characterize, document, and scale manufacturing processes for the packaging of quantum computing devices.
- Operate, maintain, and troubleshoot key manufacturing equipment.
- Lead Vendor management (Failure Analysis/RCCA, improve yield and throughput, manage custom workflows, etc.).
- Implement and improve internal production processes (including wire bonding, work instructions/procedures, design and build fixtures/jigs, inspections, data hygiene, automation, technician training).
Lead root cause analysis investigations for manufacturing failures and implement effective corrective and preventive actions.
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Requisition #: 101517836068758214
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Job ID: 82853033
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