Lead Systems Engineer, Enterprise AI Server Platform Validation

Advanced Micro Devices, Inc•Austin, TX

3d•Onsite

About The Position

AMD’s Compute and Enterprise AI Server team develops next-generation platforms for EPYC and Instinct products. The Lead Systems Engineer owns end-to-end server platform validation, from architecture alignment through post-silicon bring-up, debugging, and customer enablement. The role leads cross-functional execution, drives feature readiness, and makes technical tradeoffs involving functionality, performance, quality, and schedule. The successful candidate is a systems-level technical leader with depth in at least one relevant area and the ability to work across architecture, silicon, firmware, software, validation, and performance. They operate effectively amid ambiguity, make decisions with incomplete information, influence global teams without direct authority, and communicate risks and tradeoffs to engineering teams and senior leaders.

Requirements

Broad experience across server architecture, silicon, firmware, validation, or performance, with depth in at least one area.
Strong understanding of CPU, GPU, memory, I/O, firmware, BIOS, and system-level interactions.
Experience with system bring-up, debugging, defect tracking, root-cause analysis, and test automation.
Experience with Linux, Windows, and hypervisors such as VMware, KVM, or Hyper-V.
Ability to lead cross-functional teams and make sound technical decisions under ambiguity.
Strong executive communication, analytical, and problem-solving skills.

Nice To Haves

Leadership of complex system development or post-silicon validation programs.
Experience improving validation coverage, execution efficiency, or product quality.
Master’s degree.

Responsibilities

Own platform validation strategy, execution, feature readiness, and delivery outcomes.
Translate product requirements and customer use cases into scalable validation plans.
Lead alignment across architecture, hardware, firmware, BIOS, software, validation, performance, and customer engineering.
Drive post-silicon bring-up, system debugging, test execution, and validation milestones.
Define platform configurations, firmware requirements, debug tools, and validation environments.
Prioritize defects, lead root-cause analysis, and drive mitigation and resolution plans.
Manage technical risks, engineering resources, platform assets, and schedule tradeoffs.
Communicate program status, risks, and readiness decisions to senior leadership.
Mentor engineers and improve validation coverage, execution efficiency, and product quality.