below marketmost similar roles pay hereabove market
This role pays more than
88%
of similar roles. Most pay
$196,750–$261,400
— the blue band above.
At the midpoint, this role pays about
$308k
versus about
$229k
for comparable roles.
Based on 240 similar postings.
Employer
About Amd
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has
496 open roles
on FindRole.
Listed pay typically runs
$172,000–$258,000
across 496 roles with salary data.
The Director, Cluster Forward Deployment Engineering leads a globally distributed team of Forward Deployed Engineers to support strategic customers, including cloud service providers, hyperscalers, and AI infrastructure accounts. This executive leadership role involves owning the technical engagement model for large-scale datacenter deployments, guiding customers from initial architecture and proof-of-concept through cluster bring-up, workload enablement, and production scaling. The role requires resolving complex cross-stack issues involving GPU hardware, firmware, ROCm software, AI frameworks, networking, storage, and cluster management. Candidates must possess deep expertise in distributed systems, Linux, Kubernetes, containers, and performance optimization. The position serves as a bridge between customer engineering teams and internal product organizations, translating field experience into actionable product feedback while developing reusable deployment patterns and reference architectures for large-scale GPU computing environments.
Serve as the primary technical escalation point and build trusted relationships with customer engineering leaders and executive stakeholders.
Convert customer deployment friction and feature gaps into actionable product feedback and roadmap priorities for internal teams.
Develop reusable deployment patterns, reference architectures, and technical playbooks to improve execution consistency across accounts.
Define and track key engineering metrics including time-to-deployment, production readiness, and workload performance.
What we're looking for
Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.
Advanced degree in a technical field (preferred).
Solid years of relevant experience in engineering leadership, software engineering, solutions architecture, customer engineering, or technical program management.
Proven track record in customer-facing engineering, forward deployed engineering, solutions architecture, software engineering, or systems engineering (preferred).
Proven success leading and scaling engineering teams responsible for customer deployment, technical integration, production adoption, or operational enablement (preferred).
Demonstrated experience working directly with MDC providers, cloud service providers, hyperscalers, AI infrastructure companies, OEMs, ODMs, and enterprise customers (preferred).
Deep 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 (preferred).
Strong executive presence with experience influencing customer and internal leadership teams across engineering, product, operations, support, and commercial organizations (preferred).
AI Infrastructure
Data Center Architecture
HPC
Distributed Systems
Site Reliability Engineering (SRE)
Software-Defined Networking (SDN)
Infrastructure as Code (IaC)
RDMA
InfiniBand
Ethernet Fabrics
Cluster Management
Capacity Planning
Thermal Management
Power Distribution
Observability
Automation Frameworks
Routing
Switching
Firmware
Silicon