below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$184,675–$250,000
— the blue band above.
At the midpoint, this role pays about
$405k
versus about
$217k
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.
JOB TITLE: CVP Customer Engineering Data Center GPU
The CVP Customer Engineering Data Center GPU will lead the Customer Success function within the Data Center GPU organization. This executive role involves building and scaling Account Success Teams to serve as the primary engineering partners for strategic Instinct GPU accounts. Responsibilities include owning the end-to-end customer experience from pre-sales through production sustainment, managing technical escalations for CTOs, and driving deployment acceleration for hyperscaler and enterprise customers. The role requires deep technical expertise in GPU architecture, HPC/AI workloads, and systems-level integration across hardware, firmware, and the ROCm software stack. You will manage cross-functional dependencies to ensure successful validation and operationalization of the Helios portfolio, while influencing product roadmap strategy based on field learnings from large-scale distributed AI training and data center deployments.
Build, lead, and scale Account Success Teams to serve as the engineering nerve center for strategic Instinct customer accounts.
Own the end-to-end customer experience from pre-sales engagement through production sustainment for large-scale GPU deployments.
Manage the Helios Customer Control Tower to maintain escalation paths and align resources across Platform, Software, and Engineering domains.
Act as the senior technical face to customer CTOs and AI infrastructure leadership to resolve escalations and shape deployment architecture.
Align with Platform Engineering, Software, and Business Development teams to ensure coordination around customer commitments and product planning.
Drive measurable acceleration of customer deployment timelines by tracking engineering health metrics and validation cycle times.
Recruit, develop, and retain world-class Customer Engineering talent to scale with the expanding Instinct GPU customer base.
What we're looking for
BS/MS/PhD in Electrical Engineering, Computer Science, Computer Engineering, or a closely related field.
Prior experience at a hyperscaler or AI infrastructure company in a customer-facing engineering leadership role.
Familiarity with large-scale Instinct/HPC cluster deployment and distributed AI training at scale.
Track record of influencing product roadmap strategy based on customer field learnings.
Prior VP or CVP-level experience leading Customer Engineering, Field Engineering, or Solutions Engineering organizations at a major semiconductor, AI accelerator, or hyperscaler company (preferred).
Deep technical expertise in GPU architecture, HPC/AI workloads, large-scale data center deployment, and systems-level integration (preferred).
Demonstrated track record of executive-level engagement with hyperscaler, cloud, and enterprise customers on complex multi-quarter deployment programs (preferred).
Proven ability to build and scale Customer Engineering or Account Success organizations in a high-growth environment (preferred).
GPU
ROCm
AI Frameworks
Distributed Systems
Kubernetes
Containers
Linux
Networking
Storage
Cluster Management
Orchestration
Performance Optimization
Server Architecture
Firmware
Systems Engineering
AI Platforms
GPU Clusters
HPC
Networking
Storage
DevOps
MLOps
AWS
Azure
GCP
OCI
SFDC
Wrike
SAP
Microsoft 365
Teams
SharePoint
Data Center Systems
Liquid Cooling
Rack Integration