AMD

23 hours ago

Validation Architect - Data Center GPU

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Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Shape and evolve validation strategy for next-generation AI/ML and HPC GPU accelerators, with a focus on scalable methodologies, coverage models, and validation frameworks. Drive validation innovation across the product lifecycle by improving observability, controllability, debuggability, emulation, and automation. Provide architectural leadership to resolve silicon and platform issues across coherency, memory subsystems, power management, security, and PCIe while partnering with cross-functional engineering teams.

Location: Austin

Workplace: Hybrid

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Seniority: Mid level

Key Responsibilities

•Define and evolve validation strategy for next-generation AI, ML, and HPC accelerators using scalable methodologies, coverage models, and validation frameworks.
•Drive validation innovation across the product lifecycle by advancing observability, controllability, debuggability, emulation, and automation to improve root-cause analysis speed.
•Provide architectural leadership for complex silicon and platform challenges, guiding resolution across coherency, memory subsystems, power management, security, PCIe, and HW/SW interactions.
•Partner with silicon architects and technical leaders to develop validation approaches for emerging technologies including advanced GPU architectures, HBM memory systems, coherent interconnects, and large-scale AI infrastructure.
•Champion adoption of modern technologies and best practices, including AI-assisted validation workflows and data-driven quality methodologies.

Key Requirements

•Deep understanding of modern GPU, SoC, and server platform architectures, including post-silicon bring-up, validation, and system-level debug for AI/ML accelerators or large-scale data center platforms.
•Proven experience developing validation architectures, methodologies, test strategies, automation frameworks, and infrastructure for complex semiconductor products.
•Strong expertise in silicon and system-level debug across hardware and software domains with the ability to drive resolution of technically challenging issues.
•Proficiency in C/C++ and Python, with working knowledge of Linux and Windows server environments.
•Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical discipline (Master’s preferred).

Education:Bachelor's in Electrical Engineering, Computer Engineering, Computer Science, or related technical discipline

Skills:Problem-solvingCommunicationLeadershipAnalytical skillsOrganizational skills

Languages:English

Tech Stack:GPUSoCHPCAI/MLC/C++PythonLinuxWindowsPCIeHBMEmulationAutomation

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn

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AMD