Senior Program Manager, Customer Program Management, Data Center GPU

Amd

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Austin, TXFolsom, CASanta Clara, CA
Salary
$185,600–$278,400 / yr
Posted
2 days ago
Freshness
Confirmed live today
Closes
Oct 27, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $232k
$150k $292k
below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $174,950–$232,475 — the blue band above. At the midpoint, this role pays about $232k versus about $204k 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 500 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 500 roles with salary data.

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View all roles at Amd

At a glance

TL;DR · Senior Program Manager, Customer Program Management, Data Center GPU

The Sr. Program Manager, Customer Program Management -Data Center GPU leads key AI platform and customer programs from initial concept through production deployment. Working within the data center GPU space, this role focuses on OEM/ODM partners and enterprise customers to drive end-to-end execution across platform development, system validation, cluster bring-up, and performance optimization. You will translate complex requirements into executable plans, coordinating hardware, firmware, drivers, and software stacks. Key responsibilities include managing integrated schedules, identifying execution risks, and resolving technical roadblocks. The role requires proficiency in data center infrastructure, server architectures, Linux environments, and GPU software ecosystems like ROCm. You will manage dependencies across globally distributed teams to ensure successful production ramps and system reliability for large-scale AI compute deployments and infrastructure.

What you'll do

  • Lead end-to-end customer and product programs for data center GPU platforms from requirements through production ramp.
  • Translate customer requirements and technical guidance into clear program scopes, schedules, milestones, and KPIs.
  • Coordinate hardware, firmware, software, and validation teams to achieve program milestones and release objectives.
  • Develop integrated schedules that account for hardware, firmware, driver, and software dependencies.
  • Support OEM/ODM and enterprise customers through proof-of-concept, cluster bring-up, and performance tuning.
  • Communicate program status, risks, and mitigation plans to cross-functional teams, partners, and leadership.
  • Drive timely resolution of technical and execution roadblocks through structured issue management and clear accountability.
  • Partner with Product Management and Engineering to provide actionable feedback on hardware and software priorities.

What we're looking for

  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.
  • Master's or other advanced degree (preferred).
  • Experience in technical program management, systems engineering, customer engineering, customer success, or technical account management (preferred).
  • Experience supporting data center GPUs, accelerators, servers, AI infrastructure, or other complex compute platforms (preferred).
  • Experience working directly with OEM/ODM partners, system integrators, enterprise data center customers, or large-scale AI customers (preferred).
  • Familiarity with GPU software ecosystems such as ROCm, including drivers, firmware, containerized environments, and performance optimization (preferred).
  • Experience managing programs involving platform validation, system debug, post-silicon activities, cluster bring-up, and production ramp (preferred).
  • Proven horizontal leadership and ability to lead across globally distributed teams in a matrixed organization (preferred).

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