{"id":1278066,"url":"https://alion.io/job/google-silicon-engineering-intern-phd-summer-2027","title":"Silicon Engineering Intern, PhD, Summer 2027","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":114,"ghost_share":0,"stale_share":0.982,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Hardware","role_family":"Hardware","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false},{"name":"TPU","optional":false},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-09-14T13:18:26Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T10:59:38Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"About the job\nThe Google Cloud and AI Infrastructure team focuses on building Google's next-generation systems. The team's work is grounded in creating custom hardware, and as an intern you'll get to collaborate with engineers from various parts of the organization to influence the future of Google Cloud and the AI infrastructure by working on the foundational technology that makes it all possible. This is the hardware that powers everything from Google Cloud, to our most advanced models like Gemini.\nAs an intern, you will work on fundamental problems at the intersection of hardware, software, and algorithms. You will collaborate with exceptional engineers and researchers on projects that directly impact Google's custom silicon portfolio, including highly specialized AI accelerators like our Tensor Processing Units (TPUs), and complex Systems-on-a-Chip (SoCs). Your responsibilities and projects will be tailored to your expertise and could focus on any part of the system stack.\nGoogle Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.\nGoogle is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\nUS: $110000 - $147000 (USD) + 0% bonus target\nLearn more about benefits at Google.\nResponsibilities\nResponsibilities and detailed projects will be determined based on your educational background, interest, and skills.\nQualifications\nMinimum qualifications:\nCurrently pursuing a PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.\nProject or coursework experience in any one of the silicon engineering areas: architecture and RTL, verification and validation, physical design and circuits, systems, test and CAD.\nExperience with scripting and programming languages such as Python, Tcl, Perl, or C++.\nPreferred qualifications:\nCurrently attending a degree program in 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