{"id":1301142,"url":"https://alion.io/job/google-signalpower-integrity-engineer-phd-graduate","title":"Signal/Power Integrity Engineer, PhD Graduate","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":81,"open_postings":157,"ghost_share":0.045,"stale_share":0.611,"repost_share":0.045,"time_to_fill_p50_days":30,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Haifa, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":119000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":5845},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Machine Learning","optional":false},{"name":"Synopsys HSPICE","optional":false},{"name":"TPU","optional":false},{"name":"Vertex AI","optional":false},{"name":"Cadence Sigrity","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-07-13T10:43:15Z","employer_posted_date":"2026-10-25","last_verified_at":"2026-10-28T23:18:35Z","board_verified":true,"closed_at":null,"days_open":107,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":106},"description":"About the job\nBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.\nThe ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.\nWe prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. 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