{"id":3386775,"url":"https://alion.io/job/google-rtl-design-engineer-tpu-compute-2","title":"RTL Design Engineer, TPU Compute","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":80,"open_postings":152,"ghost_share":0.046,"stale_share":0.651,"repost_share":0.046,"time_to_fill_p50_days":30,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Hardware","role_family":"Hardware","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":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":115000,"max_usd":221000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":664},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false},{"name":"SystemVerilog","optional":false},{"name":"TPU","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-28T07:37:47Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-02T17:21:28Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the job\nIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.\nWe're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.\n Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nWork on their own to create and review Compute subsystem's design microarchitecture specifications.\nDevelop SystemVerilog RTL to implement logic for ASIC products according to established coding and quality guidelines.\nWork with design validation (DV) teams to create testplans to verify, and debug design RTL.\nWork with physical design teams to ensure design meets physical requirements and timing closure.\nQualifications\nMinimum qualifications:\nBachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.\n4 years of experience with digital design experience using SystemVerilog RTL.\nExperience with Computer Architecture.\nPreferred qualifications:\nMaster's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.\nExperience interacting with software, architecture, and other cross-functional teams.\nExperience applying computer architecture principles to solve open-ended problems.\nKnowledge of processor design, accelerators, or memory hierarchies.","description_format":"text","description_chars":2821,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Internet Services","Digital Storage","Digital Media","Marketing Analytics & Attribution"],"lifecycle":[{"event":"open","at":"2026-10-28T07:58:41Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":30,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":null,"html_url":"https://alion.io/job/google-rtl-design-engineer-tpu-compute-2","json_url":"https://alion.io/job/google-rtl-design-engineer-tpu-compute-2.json","meta":{"generated_at":"2026-11-02T17:54:42Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24909,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":82},"rest":"https://alion.io/mcp/rest/get_company?id=82"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgoogle-rtl-design-engineer-tpu-compute-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgoogle-rtl-design-engineer-tpu-compute-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgoogle-rtl-design-engineer-tpu-compute-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/google-rtl-design-engineer-tpu-compute-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgoogle-rtl-design-engineer-tpu-compute-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3386775}},{"tool":"search_jobs","arguments":{"company":"google.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3386775},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}