Director, Cluster Forward Deployment Engineering Data Center GPU
Job in
Santa Clara, Santa Clara County, California, 95052, USA
Listed on 2026-10-24
Listing for:
AMD
Full Time
position Listed on 2026-10-24
Job specializations:
-
IT/Tech
Systems Engineer, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
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THE ROLE:
We are seeking a Director, Cluster Forward Deployment Engineering to 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. The 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. THE PERSON:
The 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. They 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. KEY RESPONSIBILITES:
Lead and develop a globally distributed team of Forward Deployed Engineers supporting AMD's strategic customers, cloud service provider, hyperscale, and AI infrastructure customers. Own 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. Partner 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.
Build 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. Lead resolution of complex, cross-stack issues spanning GPU hardware, firmware, ROCm software, AI frameworks, networking, storage, cluster management, orchestration, reliability, and workload performance. Partner 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.
Serve as the voice of the customer within AMD, converting deployment friction, feature gaps, and emerging workload requirements into actionable product feedback and roadmap priorities. Develop reusable deployment patterns, reference architectures, automation, technical playbooks, readiness criteria, and operating mechanisms that improve execution consistency across accounts. Define and track engineering and customer success metrics, including time-to-deployment, production readiness, workload enablement, performance, utilization, reliability, issue-resolution effectiveness, and expansion readiness.
Lead executive deployment reviews and technical health…
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