Sr. Program Manager, Customer Program Management -Data Center GPU

Advanced Micro Devices, Inc•Austin, TX

11h•Onsite

About The Position

The Senior Program Manager, Customer Program Management - Data Center GPU leads key AI platform and customer programs from concept through production deployment. The role focuses primarily on OEM/ODM partners and enterprise customers, driving end-to-end execution across platform development, system validation, cluster bring-up, performance optimization, and production ramp. Working across hardware, firmware, software, systems engineering, product management, support, business development, sales, and go-to-market teams, the program manager translates customer and product objectives into executable plans. They serve as a primary program point of contact internally and externally, ensuring milestones are achieved and technical issues are resolved. The role requires technical program management experience and practical knowledge of complex data center GPU, server, and software systems. It is an on-site role based in Austin, Texas; Folsom, California; or Santa Clara, California, with travel to customer and partner locations. The position is not eligible for visa sponsorship.

Requirements

Proven program management experience in a dynamic, competitive technology environment, particularly within software development, systems engineering, or hardware engineering organizations.
Experience supporting data center GPUs, accelerators, servers, AI infrastructure, or other complex compute platforms.
Experience working directly with OEM/ODM partners, system integrators, enterprise data center customers, or large-scale AI customers.
Understanding of data center infrastructure, server architectures, Linux environments, GPU software stacks, and large-scale compute deployments.
Familiarity with GPU software ecosystems such as ROCm, including drivers, firmware, containerized environments, software releases, and performance optimization.
Experience managing programs involving platform validation, system debug, post-silicon activities, cluster bring-up, software release coordination, and production ramp.
Demonstrated ability to manage complex schedules, cross-functional dependencies, risks, KPIs, and deliverables across multiple organizations.
Strong customer-facing verbal and written communication skills, including the ability to translate complex technical issues into clear program status, risks, decisions, and actions.
Ability to lead horizontally within a matrixed organization across globally distributed teams, with flexibility to support execution across Asia and North America.
Background in technical program management, systems engineering, customer engineering, customer success, or technical account management within data center environments.
Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.

Nice To Haves

A master's degree or other advanced degree.

Responsibilities

Lead end-to-end customer and product programs for data center GPU platforms, from requirements and technical feasibility through development, validation, deployment, and production ramp.
Translate customer requirements and senior technical guidance into program scope, schedules, milestones, KPIs, dependencies, deliverables, and ownership.
Coordinate hardware, firmware, driver, software stack, system validation, support, product, and customer teams to achieve program milestones and release objectives.
Develop integrated schedules accounting for hardware, firmware, driver, software, platform, validation, and customer-environment dependencies, and negotiate plans that support program commitments.
Support OEM/ODM and enterprise customer engagements through proof of concept, platform development, system validation, cluster bring-up, performance tuning, production deployment, and readiness at scale.
Communicate program status, decisions, issues, risks, and recommended mitigation plans to cross-functional teams, customers, partners, and leadership.
Drive timely resolution of technical and execution roadblocks through structured issue management, accountability, and escalation.
Partner with Product Management and Engineering to capture customer requirements and provide actionable feedback on hardware, firmware, driver, and software priorities.
Build and maintain program plans, risk assessments, dependency tracking, reporting mechanisms, and decision frameworks throughout the program lifecycle.
Identify opportunities to improve deployment processes, validation methodologies, release coordination, system reliability, and customer program execution.
Plan for development and deployment risks, identify prevention and mitigation methods, and address issues early to reduce schedule disruption and engineering cost.