{"id":2910613,"url":"https://alion.io/job/amd-sr-director-of-engineering-data-center-infrastructure","title":"Sr. Director of Engineering, Data Center Infrastructure","company":{"id":93,"name":"AMD","domain":"amd.com","url":"https://alion.io/company/amd","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"A","score":95,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":81,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","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":203000,"max_usd":381000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2716},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HPC","optional":false},{"name":"Incident Management","optional":false},{"name":"Platform Engineering","optional":false},{"name":"InfiniBand","optional":true}],"status":"live","first_seen_at":"2026-10-01T15:44:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-02T16:06:30Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"ADVANCE YOUR CAREER. ADVANCE THE WORLD.\nAt AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.\nWhether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.\nTHE ROLE\nAMD is seeking a visionary Senior Director of AI Data Center Infrastructure Engineering to lead the strategy, architecture, deployment, and operation of next-generation AI data centers and large-scale compute environments.\nThis highly visible leadership role will be responsible for defining AMD's AI infrastructure architecture across rack-scale and cluster-scale deployments, spanning facility infrastructure, compute systems, networking, software operations, and reliability engineering. The successful candidate will lead a world-class organization of engineers and architects responsible for building scalable AI infrastructure that supports AMD's internal development, validation, and customer enablement initiatives.\nThis position requires a unique combination of executive leadership, systems thinking, and deep technical expertise across data center architecture, networking, distributed systems, cluster operations, and large-scale infrastructure deployment.\nTHE PERSON\nThe ideal candidate is a highly experienced technology executive with a proven track record of building and operating large-scale data center environments. You thrive in complex, cross-functional organizations and have demonstrated success leading large engineering teams while influencing strategy across hardware, software, systems, and operations.\nYou possess deep technical expertise in AI infrastructure and can translate business objectives into scalable engineering solutions. You are equally comfortable discussing system architecture with technical experts and presenting strategic recommendations to executive leadership, customers, and industry partners.\nKEY RESPONSIBILITIES\nAI Data Center Architecture & Infrastructure Strategy\nDefine AMD's end-to-end AI data center infrastructure strategy, including compute architecture, facility requirements, operational models, and scalability planning.\nLead architecture and deployment decisions for large-scale AI and HPC data center environments spanning thousands of servers and accelerators.\nDrive infrastructure planning across power distribution, cooling strategies, space utilization, capacity forecasting, and operational readiness.\nAnalyze performance, efficiency, reliability, and total cost of ownership (TCO) tradeoffs to optimize infrastructure investments.\nPartner with internal engineering organizations, facilities teams, and external vendors to deliver world-class AI infrastructure platforms.\nSystems Architecture & Platform Engineering\nOwn architecture decisions spanning silicon, servers, rack-scale solutions, and full data center deployments.\nCollaborate closely with hardware, software, networking, systems design, platform engineering, and product organizations to align infrastructure capabilities with AMD technology roadmaps.\nDrive architecture reviews and technical decision-making across mechanical, electrical, thermal, firmware, software, and systems domains.\nEstablish scalable infrastructure standards and design methodologies for future AI platforms.\nCluster Management, Operations & Reliability\nLead the design, deployment, and lifecycle management of large-scale AI training and inference clusters.\nEstablish operational excellence through Site Reliability Engineering (SRE) principles, observability frameworks, incident management processes, and capacity planning.\nDevelop automation strategies that improve deployment speed, infrastructure efficiency, system reliability, and operational scalability.\nDrive continuous improvement initiatives focused on availability, resilience, performance, and cost optimization.\nDefine reliability and service-level objectives (SLOs) for production infrastructure environments.\nData Center Networking & Interconnect Architecture\nDefine and optimize networking architectures supporting large-scale AI and HPC environments.\nLead strategy across network topology, high-speed fabrics, switching architectures, routing infrastructure, and accelerator interconnect technologies.\nEvaluate and implement next-generation networking technologies to maximize cluster performance and scalability.\nChampion software-defined networking (SDN), network automation, and observability solutions across global infrastructure deployments.\nPartner with AMD product and ecosystem teams to influence future networking roadmaps.\nExecutive Leadership & Organizational Development\nLead, mentor, and grow a global organization of 50-75 engineers, architects, and technical leaders.\nEstablish a high-performance engineering culture focused on innovation, accountability, collaboration, and execution excellence.\nDevelop organizational strategy, succession planning, workforce development, and talent acquisition initiatives.\nServe as a key technical advisor to executive leadership on AI infrastructure strategy, investment priorities, and industry trends.\nCollaborate with strategic customers, system integrators, technology partners, and suppliers to drive alignment across the AI ecosystem.\nMonitor competitive technologies, emerging market trends, and industry innovation to influence AMD's long-term infrastructure vision.\nPREFERRED EXPERIENCE\nExperience designing, deploying, and operating large-scale data center environments.\nExperience leading engineering organizations, including ownership of large multidisciplinary teams.\nDemonstrated success building and scaling AI, cloud, hyperscale, HPC, or enterprise data center infrastructure.\nExtensive experience with data center architecture, power delivery, thermal management, capacity planning, and facility operations.\nDeep knowledge of AI infrastructure, server architectures, accelerator-based computing platforms, and rack-scale system design.\nProven expertise designing high-performance data center networks, including switching, routing, Ethernet fabrics, RDMA, InfiniBand, and next-generation interconnect technologies.\nExperience leading compute cluster deployment, lifecycle management, and large-scale distributed system operations.\nStrong understanding of Site Reliability Engineering (SRE), Infrastructure as Code (IaC), automation frameworks, monitoring, observability, and operational best practices.\nProven ability to lead technical organizations through significant technology transformations and rapid growth.\nExperience influencing cross-functional roadmaps involving hardware, software, networking, and infrastructure teams.\nStrong executive communication skills with demonstrated ability to influence senior leadership, customers, and external partners.\nACADEMIC CREDENTIALS\nBachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or related technical field.\nMaster's degree preferred.\nPhD considered a plus.\nThis role is not eligible for visa sponsorship.\n#LI-CJ1\nBenefits offered are described: AMD benefits at a glance.\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.\n\nThis posting is for an existing vacancy.\nTHE ROLE\nAMD is seeking a visionary Senior Director of AI Data Center Infrastructure Engineering to lead the strategy, architecture, deployment, and operation of next-generation AI data centers and large-scale compute environments.\nThis highly visible leadership role will be responsible for defining AMD's AI infrastructure architecture across rack-scale and cluster-scale deployments, spanning facility infrastructure, compute systems, networking, software operations, and reliability engineering. The successful candidate will lead a world-class organization of engineers and architects responsible for building scalable AI infrastructure that supports AMD's internal development, validation, and customer enablement initiatives.\nThis position requires a unique combination of executive leadership, systems thinking, and deep technical expertise across data center architecture, networking, distributed systems, cluster operations, and large-scale infrastructure deployment.\nTHE PERSON\nThe ideal candidate is a highly experienced technology executive with a proven track record of building and operating large-scale data center environments. You thrive in complex, cross-functional organizations and have demonstrated success leading large engineering teams while influencing strategy across hardware, software, systems, and operations.\nYou possess deep technical expertise in AI infrastructure and can translate business objectives into scalable engineering solutions. You are equally comfortable discussing system architecture with technical experts and presenting strategic recommendations to executive leadership, customers, and industry partners.\nKEY RESPONSIBILITIES\nAI Data Center Architecture & Infrastructure Strategy\nDefine AMD's end-to-end AI data center infrastructure strategy, including compute architecture, facility requirements, operational models, and scalability planning.\nLead architecture and deployment decisions for large-scale AI and HPC data center environments spanning thousands of servers and accelerators.\nDrive infrastructure planning across power distribution, cooling strategies, space utilization, capacity forecasting, and operational readiness.\nAnalyze performance, efficiency, reliability, and total cost of ownership (TCO) tradeoffs to optimize infrastructure investments.\nPartner with internal engineering organizations, facilities teams, and external vendors to deliver world-class AI infrastructure platforms.\nSystems Architecture & Platform Engineering\nOwn architecture decisions spanning silicon, servers, rack-scale solutions, and full data center deployments.\nCollaborate closely with hardware, software, networking, systems design, platform engineering, and product organizations to align infrastructure capabilities with AMD technology roadmaps.\nDrive architecture reviews and technical decision-making across mechanical, electrical, thermal, firmware, software, and systems domains.\nEstablish scalable infrastructure standards and design methodologies for future AI platforms.\nCluster Management, Operations & Reliability\nLead the design, deployment, and lifecycle management of large-scale AI training and inference clusters.\nEstablish operational excellence through Site Reliability Engineering (SRE) principles, observability frameworks, incident management processes, and capacity planning.\nDevelop automation strategies that improve deployment speed, infrastructure efficiency, system reliability, and operational scalability.\nDrive continuous improvement initiatives focused on availability, resilience, performance, and cost optimization.\nDefine reliability and service-level objectives (SLOs) for production infrastructure environments.\nData Center Netw...","description_format":"text","description_chars":16030,"description_truncated":true,"requirements":{"experience_years_min":null,"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":["Processors, MCUs & AI Chips","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-20T09:28:01Z"}],"visa":[],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":0.9,"age_days":31,"expected_fill_days":81,"reasons":["conf:1","velocity","win:mid","comp:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":null,"html_url":"https://alion.io/job/amd-sr-director-of-engineering-data-center-infrastructure","json_url":"https://alion.io/job/amd-sr-director-of-engineering-data-center-infrastructure.json","meta":{"generated_at":"2026-11-02T19:25:28Z","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 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