{"id":1278146,"url":"https://alion.io/job/google-software-engineering-manager-gpu-reliability","title":"Software Engineering Manager, GPU Reliability","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":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":158000,"max_usd":336000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":374},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-08-25T16:10:33Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-26T21:50:13Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"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.\nThe Cloud GPU team drives AI innovation by building and maintaining Google Cloud’s industry-leading GPU fleet and AI platform. We empower sophisticated training and inference customers by delivering unparalleled computational resources. Owning the entire lifecycle of GPU offerings from launching new architectures to ensuring optimal reliability for workloads. We operate at the intersection of hardware, software, and applied AI. In this role, you will collaborate with cross-functional partners to build the foundational infrastructure fueling AI advancements across global industries. You will contribute to the future of AI and enable breakthrough solutions for a rapidly evolving customer base.\nGoogle Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nLead, mentor, and grow a team of software engineers, fostering a collaborative culture and supporting career development.\nExecute technical roadmaps for the GPU ecosystem, anticipating market shifts to advance Google Cloud's AI infrastructure.\nOversee the accelerator solution lifecycle, driving root-cause analysis and resolving production issues to guarantee fleet reliability.\nCollaborate with customers as a technical advocate to resolve critical challenges and translate feedback into platform enhancements.\nAuthor and review technical specifications to maintain architectural consistency, high code quality, and long-term platform maintainability.\nQualifications\nMinimum qualifications:\nBachelor's degree or equivalent practical experience.\n8 years of experience in software development.\n5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).\n3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.\n3 years of experience in a technical leadership role.\n2 years of experience in a people management, supervision/team leadership role.\nPreferred qualifications:\nMaster's degree or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.\nExperience with data science, data modeling, large-scale data processing, and reliability metrics.\nExperience in runtimes, Firmware, GPU drivers, embedded systems, embedded processors, and real time systems.","description_format":"text","description_chars":4080,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":5,"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":["Operating Systems","Streaming & OTT Platforms","Foundation Models","Consumer Internet Groups"],"lifecycle":[{"event":"open","at":"2026-09-26T02:15:01Z"}],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.73,"p_room":0.55,"age_days":31,"expected_fill_days":30,"reasons":["conf:3","velocity","win:tail","comp:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/google-software-engineering-manager-gpu-reliability","json_url":"https://alion.io/job/google-software-engineering-manager-gpu-reliability.json","meta":{"generated_at":"2026-09-27T04:59:19Z","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":4369,"day_limit":5000,"remaining_today":631,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}