Principal Enterprise AI/HPC GPU Systems Architect

Amd

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Austin, TX
Salary: $200,000–$300,000 / yr
Posted: 66 days ago
Freshness: Confirmed live 2 days ago
Closes: Jul 7, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $222k

This role $250k

$159k most similar roles pay here $315k

This role pays more than 71% of similar roles. Most pay $188,875–$254,750 — the shaded band above. At the midpoint, this role pays about $250k versus about $222k 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 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

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At a glance

TL;DR · Principal Enterprise AI/HPC GPU Systems Architect

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The Principal Enterprise AI/HPC GPU Systems Architect joins the Datacenter System Architecture and Engineering team to develop products centered on Instinct GPUs. This role involves defining EPYC and Enterprise AI/HPC GPU product and system architectures by analyzing outside-in usage cases and mapping them across a broad spectrum of technologies to ensure a holistic, constrained system spanning Si, platform hardware, and software. The architect will collaborate with internal stakeholders and customers to define requirements for performance, power balance, and cost while researching next-generation datacenter compute designs. Key technical competencies include expertise in memory, I/O, signal integrity, power delivery, thermal management, and firmware. Candidates must possess a deep understanding of server industry standards such as DDR, PCIe, and SATA to solve complex problems within high-performance computing, server, and mega data center applications.

Skills

HPC SoC BMC PCIe DDR SATA Power Management Signal Integrity Power Delivery System Architecture high-speed IO Boot Process

What you'll do

Define product and system architecture for Enterprise AI/HPC GPUs and EPYC processors.
Architect solutions using Instinct GPUs, accelerators, and network components for data center applications.
Analyze outside-in usage cases to map technical requirements across silicon, hardware, and software.
Collaborate with internal architects and external customers to define performance, power, and cost requirements.
Research and develop next-generation datacenter compute designs to improve system performance.
Influence the roadmap of future products by contributing to architecture and technology execution.
Resolve complex engineering problems related to memory, I/O, signal integrity, and power management.
Communicate technical results to leadership and partners to drive alignment on hardware solutions.

What we're looking for

Engineering degree in Electrical Engineering, Computer Engineering, or Computer Science.
Extensive experience in the field of engineering.
Expertise in server and GPU products across architecture, development, design, and production release.
Deep knowledge of memory, I/O, signal integrity, power delivery, thermal, and hardware management.
Detailed understanding of server industry standards such as DDR, PCIe, and SATA.
Proven track record of collaborating with technology companies to engineer products based on new SoCs, CPUs, and chipsets.
Ability to work across engineering disciplines and geographies to deliver results.
Demonstrated ability to independently drive tasks to completion as a self-starter.