{"id":2451958,"url":"https://alion.io/job/google-senior-software-engineer-generative-ai-research","title":"Senior Software Engineer, Generative AI, Research","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":"AI/ML","role_family":"AI/ML","seniority":"senior","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":163000,"max_usd":311000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1124},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Python","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"XLA","optional":false}],"status":"live","first_seen_at":"2026-10-13T13:40:46Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T19:04:11Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the job\nGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.\nAs a Senior Software Engineer, you will design the next generation of AI accelerator instruction set architectures (ISAs) to power frontier ML models at scale. You will architect novel instruction primitives and addressing modes purpose-built for model dynamics-including MLA, speculative decoding, and dynamic sparsity. By pioneering AI-driven exploration pipelines, you will leverage LLMs and autonomous agents to explore vast architectural design spaces, prototype simulator features, and validate hardware-software trade-offs across compiler backends and RTL pipelines.\nGoogle Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nDesign custom instruction sets, addressing modes, and hardware features targeting emerging frontier model operations (e.g., MLA, speculative verification, dynamic sparsity, multi-precision numerical formats).\nDeploy agentic orchestration and automated exploration pipelines to synthesize ISA configurations, generate test kernels, and discover architectural bottlenecks autonomously.\nCollaborate across ML research, XLA compiler, and RTL teams to ensure new instructions are seamlessly targetable, efficient to lower, and verify cleanly across simulation environments.\nImplement instruction-level simulators, golden reference models, and trace analyzers to measure performance, silicon area, and compiler efficiency.\nProvide rigorous, data-driven architecture proposals to guide multi-generational silicon roadmaps.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n5 years of experience with software development in C++ and Python.\nExperience with functional/architectural simulators, emulator development, or compiler backends.\nExperience with computer architecture, instruction set architectures (ISAs), and hardware-software interaction.\nPreferred qualifications:\nMaster's degree or PhD in Computer Science or related technical field.\n5 years of experience with data structures/algorithms.\n1 year of experience in a technical leadership role.\nExperience developing accessible 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