Systems Yield Engineer, Quantum AI

Job Description

Job Title: Systems Yield Engineer, Quantum AI. Location: Goleta, CA, USA

Job Type: Full-time, Entry Level

Responsibilities:

• Specify, design, and maintain mechanical, electrical, and thermal test fixtures for component, sub-assembly, and system testing.
• Develop new testing methods for both room-temperature and cryogenic environments.
• Drive comprehensive testing to characterize the yield and reliability of critical components and assemblies.
• Collaborate with software and hardware teams to ensure test and yield data remains traceable and accessible for rapid decision-making.
• Perform data analysis to support new testing methods and root-cause analysis;
• Work with internal hardware teams and vendors to establish pass/fail criteria.
• Develop and support automation for test analysis.
• Partner with multiple Quantum AI teams to maintain current test coverage as hardware technologies rapidly advance.
• Work with electrical testing, statistical analysis, and measurement sensitivity considerations.
• Contribute to testing and yield strategies for scalable quantum computing hardware.

Qualifications:

• 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.
• 3 years of experience with electrical testing.
• 3 years of experience using statistical and data analysis tools.
• Familiarity with electrical noise and measurement sensitivity;
• Proficiency in data analysis using Python, JMP, ReliaSoft, or similar tools.

Preferred:

• Master’s degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field.
• Experience with data visualization libraries such as Plotly or matplotlib.
• Experience contributing to and collaborating within a shared codebase.
• Experience with cryogenic testing.
• Familiarity with PCB design principles.
• Understanding of mechanical design fundamentals.

Benefits and Compensation:

• Salary range: $132,000 to $189,000 per year.
• Target bonus: 15%.
• Equity compensation.
• Google employee benefits.
• Compensation is determined based on job-related skills, experience, education, and training.

Other Information:

• The position is part of Google Quantum AI, which is focused on developing large-scale quantum computers capable of complex, error-corrected computations.
• The role requires close collaboration across hardware, software, testing, and Quantum AI teams.
• Google is an equal opportunity and affirmative action employer.