{"id":1315547,"url":"https://alion.io/job/google-aiml-hardware-architect-cloud-silicon","title":"AI/ML Hardware Architect, Cloud, Silicon","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":null},"role":"Hardware","role_family":"Hardware","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":93000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":316},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Edge AI","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"TPU","optional":false},{"name":"Vertex AI","optional":false},{"name":"C++","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-07-13T15:40:05Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-26T21:50:13Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":75},"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 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 Responsibilities\nDevelop architecture specifications that meet current and future computing requirements for AI/ML roadmap. Develop architectural and microarchitectural power/performance models, microarchitecture and evaluate quantitative and qualitative performance and power analysis.\nPartner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software co-design, creating high performance hardware/software interfaces. Evaluate different silicon solutions for executing Google’s data center Artificial Intelligence (AI) accelerator roadmap, components, vendor co-developments, custom designs and chiplets.\nCreate high performance hardware/software interfaces.\nCollaborate with software, verification, emulation, physical design, packaging and silicon validation stakeholders to ensure designs are complete, correct and performant.\nOwn microarchitecture of compute blocks and subsystems. Identify and drive power, performance and area improvements for the modules owned. Develop and contribute to the simulations tools.\nQualifications\nMinimum qualifications:\nBachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.\n4 years of experience in any one of the following areas: architecture and micro-architecture design of graphics, Machine Learning (ML), or managing low-precision or mixed-precision numerics, vector processors, DSP processors, or architecting networking ASICs.\n\nExperience in memory hierarchy, memory controllers, HBM, and DRAM technologies.\nPreferred qualifications:\nMaster's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.\nExperience working with software teams optimizing the hardware/software interface.\nExperience in estimating performance by analysis, modeling, and network simulation in defining and driving performance test plans.\nExperience in programming languages (e.g., C++, Python).\nKnowledge of arithmetic units, bus architectures, accelerators or memory hierarchies and high performance and low power design techniques.","description_format":"text","description_chars":3404,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Operating Systems","Streaming & OTT Platforms","Foundation Models","Consumer Internet Groups"],"lifecycle":[{"event":"open","at":"2026-09-26T18:20:57Z"}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.379,"p_room":0.28,"age_days":75,"expected_fill_days":30,"reasons":["conf:6","win:tail","crowd:brand"],"computed_at":"2026-09-27T04:22:43Z"},"pay":null,"html_url":"https://alion.io/job/google-aiml-hardware-architect-cloud-silicon","json_url":"https://alion.io/job/google-aiml-hardware-architect-cloud-silicon.json","meta":{"generated_at":"2026-09-27T04:22:43Z","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":3954,"day_limit":5000,"remaining_today":1046,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}