{"id":3049256,"url":"https://alion.io/job/google-deepmind-senior-software-engineer-gemini-deployment-and-performance","title":"Senior Software Engineer, Gemini Deployment and Performance","company":{"id":4,"name":"Google DeepMind","domain":"deepmind.google","url":"https://alion.io/company/deepmind","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Backend","role_family":"Backend","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":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":159000,"max_usd":295000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3667},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gemini","optional":false}],"status":"live","first_seen_at":"2026-10-21T22:41:23Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-26T16:17:47Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About the job\nLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.\nWith technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.\nArtificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.\nWe are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nScale Gemini serving to billions of daily requests and millions of developers, landing infrastructure and tuning improvements in production endpoints to hit company YoY TPS/chip goals.\nDirect inference and efficiency strategies, sustaining Pareto-optimal performance against rapidly evolving SOTA.\nMentor and grow engineers while cultivating technical excellence, high agency, collaboration, and an AI-first mindset.\nPartner across Research, Inference Engine, Model Server, Serving, Reliability, and Cloud AI, navigating cross-stack dependencies to accelerate landing SOTA techniques.\nServe as technical authority on the serving stack, driving high scalability and automating validation pipelines to accelerate turnaround from checkpoint drop to production release.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n8 years of experience in software development.\n5 years of experience in a technical leadership role; 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