{"id":3106786,"url":"https://alion.io/job/amd-director-cluster-forward-deployment-engineering-data-center-gpu","title":"Director, Cluster Forward Deployment Engineering Data Center GPU","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":97,"open_postings":17,"ghost_share":0,"stale_share":0.118,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-11-06T05:58:05Z"}},"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":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":199000,"max_usd":373000,"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":"ROCm","optional":false},{"name":"Kubernetes","optional":true},{"name":"Linux","optional":true}],"status":"live","first_seen_at":"2026-10-22T18:37:00Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T09:08:37Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"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:\nWe are seeking a Director, Cluster Forward Deployment Engineeringto lead AMD's customer-embedded engineering engagements across strategic customers, cloud service provider, hyperscale, and AI infrastructure accounts. This executive leadership role will build and lead a team of Forward Deployed Engineers who work directly with customer engineering organizations to deploy, integrate, optimize, and scale AMD datacenter GPU platforms and software solutions.\nThe Director will own the technical engagement model across a portfolio of customers, guiding deployments from early architecture and proof-of-concept through cluster bring-up, workload enablement, production readiness, and operational scale. This role will drive alignment across customer engineering teams and AMD Software, Hardware, Product Management, Business Development, Operations, and Support organizations to resolve deployment barriers, accelerate time-to-value, and translate field experience into product and platform improvements.\nTHE PERSON:\nThe ideal candidate is an experienced customer-facing engineering executive with a strong track record building and leading teams that deploy complex AI, cloud, or datacenter technologies directly within customer environments. They combine deep technical understanding of GPU-based computing, distributed systems, AI software stacks, and production infrastructure with strong organizational leadership, executive communication, and customer relationship skills.\nThey thrive in ambiguous and fast-moving environments, build credibility with customer executives and hands-on engineering teams alike, and lead through influence across large cross-functional organizations. They can balance immediate customer deployment needs with scalable engineering practices, while using real-world customer experience to improve AMD products, software, support models, and future platform strategies.\nKEY RESPONSIBILITES:\nLead and develop a globally distributed team of Forward Deployed Engineers supporting AMD's strategic customers, cloud service provider, hyperscale, and AI infrastructure customers. \nOwn the technical engagement strategy for assigned Mega Data Center and Cloud Service Provider accounts, aligning engineering resources to customer architecture, deployment priorities, workload requirements, and production milestones. \nPartner with internal and external stakeholders, drive end-to-end customer deployment execution from discovery, architecture definition, and proof-of-concept through cluster bring-up, software integration, workload enablement, performance optimization, production readiness, and operational scale. \nBuild trusted relationships with customer engineering leaders, architects, platform teams, and executive stakeholders, serving as the senior technical escalation and coordination point for business-critical deployments. \nLead resolution of complex, cross-stack issues spanning GPU hardware, firmware, ROCm software, AI frameworks, networking, storage, cluster management, orchestration, reliability, and workload performance. \nPartner with Product Management, Business Development, Pre-sales, Operations, and Support teams to deliver customer commitments and maintain clear ownership of technical risks, dependencies, and mitigation plans. \nServe as the voice of the customer within AMD, converting deployment friction, feature gaps, and emerging workload requirements into actionable product feedback and roadmap priorities. \nDevelop reusable deployment patterns, reference architectures, automation, technical playbooks, readiness criteria, and operating mechanisms that improve execution consistency across accounts. \nDefine and track engineering and customer success metrics, including time-to-deployment, production readiness, workload enablement, performance, utilization, reliability, issue-resolution effectiveness, and expansion readiness. \nLead executive deployment reviews and technical health assessments, clearly communicating customer status, engineering risks, decisions, dependencies, and recovery plans. \nScale the Cluster FDE operating model through workforce planning, talent development, technical mentorship, account coverage models, and strong collaboration with regional and centralized engineering teams.\nPREFERRED EXPERIENCE:\nProven track record in customer-facing engineering, forward deployed engineering, solutions architecture, software engineering, systems engineering, or technical leadership roles supporting complex datacenter or cloud environments.\nProven success leading and scaling engineering teams responsible for customer deployment, technical integration, production adoption, or operational enablement. \nDemonstrated experience working directly with MDC providers, cloud service providers, hyperscalers, AI infrastructure companies, OEMs, ODMs, and enterprise customers. \nDeep understanding of large-scale GPU deployments, AI training and inference environments, distributed systems, datacenter operations, server architecture, networking, storage, Linux, Kubernetes, containers, and performance optimization. \nProven ability to lead complex customer deployments from proof-of-concept through production scale while managing technical risk, cross-functional dependencies, and executive expectations. \nDemonstrated ability to translate customer deployment experience into engineering priorities, product improvements, reusable solutions, and roadmap recommendations. \nStrong executive presence with experience influencing customer and internal leadership teams across engineering, product, operations, support, and commercial organizations. \nExceptional written, verbal, technical, and executive communication skills.\nACADEMIC CREDENTIALS:\nBachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or related technical field; advanced degree preferred.\nSolid years of relevant experience in engineering leadership, software engineering, solutions architecture, customer engineering, forward deployed engineering, technical program management, or related technical leadership roles.\n\nThis role is not eligible for visa sponsorship.\n#LI-EV1\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:\nWe are seeking a Director, Cluster Forward Deployment Engineeringto lead AMD's customer-embedded engineering engagements across strategic customers, cloud service provider, hyperscale, and AI infrastructure accounts. This executive leadership role will build and lead a team of Forward Deployed Engineers who work directly with customer engineering organizations to deploy, integrate, optimize, and scale AMD datacenter GPU platforms and software solutions.\nThe Director will own the technical engagement model across a portfolio of customers, guiding deployments from early architecture and proof-of-concept through cluster bring-up, workload enablement, production readiness, and operational scale. This role will drive alignment across customer engineering teams and AMD Software, Hardware, Product Management, Business Development, Operations, and Support organizations to resolve deployment barriers, accelerate time-to-value, and translate field experience into product and platform improvements.\nTHE PERSON:\nThe ideal candidate is an experienced customer-facing engineering executive with a strong track record building and leading teams that deploy complex AI, cloud, or datacenter technologies directly within customer environments. They combine deep technical understanding of GPU-based computing, distributed systems, AI software stacks, and production infrastructure with strong organizational leadership, executive communication, and customer relationship skills.\nThey thrive in ambiguous and fast-moving environments, build credibility with customer executives and hands-on engineering teams alike, and lead through influence across large cross-functional organizations. They can balance immediate customer deployment needs with scalable engineering practices, while using real-world customer experience to improve AMD products, software, support models, and future platform strategies.\nKEY RESPONSIBILITES:\nLead and develop a globally distributed team of Forward Deployed Engineers supporting AMD's strategic customers, cloud service provider, hyperscale, and AI infrastructure customers. \nOwn the technical engagement strategy for assigned Mega Data Center and Cloud Service Provider accounts, aligning engineering resources to customer architecture, deployment priorities, workload requirements, and production milestones. \nPartner with internal and external stakeholders, drive end-to-end customer deployment execution from discovery, architecture definition, and proof-of-concept through cluster bring-up, software integration, workload enablement, performance optimization, production readiness, and operational scale. \nBuild trusted relationships with customer engineering leaders, architects, platform teams, and executive stakeholders, serving as the senior technical escalation and coordination point for business-critical deployments. \nLead resolution of complex, cross-stack issues spanning GPU hardware, firmware, ROCm software, AI frameworks, networking, storage, cluster management, orchestration, reliability, and workload performance. \nPartner with Product Management, Business Development, Pre-sales, Operations, and Support teams to deliver customer commitments and maintain clear ownership of technical risks, dependencies, and mitigation plans. \nServe as the voice of the customer within AMD, converting deployment friction, feature gaps, and emerging workload requirements into actionable product feedback and roadmap priorities. \nDevelop reusable deployment patterns, reference architectures, automation, technical playbooks, readiness criteria, and operating mechanisms that improve execution consistency across accounts. \nDefine and track engineering and customer success metrics, including time-to-deployment, production readiness, workload enablement, performance, utilization, reliability, issue-resolution effectiveness, and expansion readiness. \nLead executive deployment reviews and technical health assessments, clearly communicating customer status, engineering risks, decisions, dependencies, and recovery plans. \nScale the Cluster FDE operating model through workforce planning, talent development, technical mentorship, account coverage models, and strong collaboration with regional and centralized engineering teams.\nPREFERRED EXPERIENCE:\nProven track record in 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