{"id":1301017,"url":"https://alion.io/job/google-systems-yield-engineer-quantum-ai","title":"Systems Yield Engineer, Quantum AI","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":75,"open_postings":117,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-09-29T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Goleta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":81000,"max_usd":153000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1812},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Matplotlib","optional":true},{"name":"Plotly","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-08-27T10:37:23Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-26T21:50:13Z","board_verified":false,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"About the job\nAs a part of the Quantum Systems Yield Engineer, you will drive development and execution of comprehensive testing to characterize the yield and reliability of critical components and assemblies. In this role, you will develop innovative test methods and custom fixtures for both room temperature and cryogenic environments, collaborate closely with software and hardware teams, ensure that test and yield data remains traceable and accessible to facilitate rapid decision-making. You will partner with multiple QAI teams to keep our test coverage up to date with rapid hardware advancements.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.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\nLearn more about benefits at Google.\nResponsibilities\nSpecify, design, and maintain mechanical, electrical, and thermal test fixturing for component, sub-assembly, and system testing.\nDevelop new test methods for both room temperature and cryogenic environments.\nPartner with software and hardware teams to assure test and yield data are traceable and accessible for fast decision-making.\nPerform data analysis in support of new tests and root cause analysis.\nWork with internal hardware teams and vendors to create pass/fail criteria and automation for test analysis.\nQualifications\nMinimum qualifications:\nBachelor’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.\n3 years of experience with electrical testing.\n3 years of experience using statistical and data analysis tools.\nPreferred qualifications:\nMaster's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).\nExperience with data visualization libraries like Plotly or matplotlib and experience contributing to and collaborating within a shared codebase.\nExperience with cryogenic testing.\nFamiliarity with PCB design principles.and Understanding of mechanical design fundamentals.\nFamiliar with understanding electrical noise and measurement sensitivity.\nProficiency in data analysis using tools such as Python, JMP, ReliaSoft, or similar.","description_format":"text","description_chars":2656,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Operating Systems","Streaming & OTT Platforms","Foundation Models","Consumer Internet Groups"],"lifecycle":[{"event":"open","at":"2026-09-26T11:40:44Z"}],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":0.9,"p_active":0.359,"p_room":0.55,"age_days":32,"expected_fill_days":30,"reasons":["conf:55","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/google-systems-yield-engineer-quantum-ai","json_url":"https://alion.io/job/google-systems-yield-engineer-quantum-ai.json","meta":{"generated_at":"2026-09-30T01:28:57Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1028,"day_limit":5000,"remaining_today":3972,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}