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AMD

Designs chips for computers and AI systems

Principal Validation Architect - Data Center GPU

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listedIn-person

About the Job

Requirements

  • Deep understanding of modern GPU, system-on-chip, and server platform architectures, including experience with post-silicon bring-up, validation, system-level debug, and AI/machine-learning accelerator or large-scale data center platform validation.
  • Experience developing validation architectures, methodologies, test strategies, automation frameworks, and infrastructure for complex semiconductor products.
  • Expertise in silicon and system-level debug across hardware and software domains, with the ability to drive resolution of technically challenging issues.
  • Proficiency in programming and scripting languages such as C/C++ and Python, along with working knowledge of Linux and Windows server environments.
  • Ability to influence technical direction, build cross-functional partnerships, and communicate effectively with stakeholders ranging from engineers and architects to senior executives.
  • Strong analytical, problem-solving, and organizational skills, with a passion for innovation, technical excellence, and continuous improvement.
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.

Responsibilities

  • Define and evolve validation strategy for next-generation AI, machine-learning, and high-performance computing accelerators, establishing scalable methodologies, coverage models, and validation frameworks to improve product quality and reduce time to market.
  • Drive validation innovation across the product lifecycle by influencing observability, controllability, debuggability, emulation, and automation capabilities to enable more efficient validation and faster root-cause analysis.
  • Provide architectural leadership for complex silicon and platform challenges, guiding resolution of issues involving coherency, memory subsystems, power management, security, PCIe, and hardware/software interactions while advancing debug methodologies and infrastructure.
  • Partner with silicon architects and technical leaders across engineering organizations to develop validation approaches for emerging technologies, including advanced GPU architectures, high-bandwidth memory systems, coherent interconnects, and large-scale AI infrastructure.
  • Champion adoption of modern technologies and best practices, including AI-assisted validation workflows, at-scale validation environments, and data-driven quality methodologies that improve execution efficiency and product readiness.

Desired Qualifications

  • Master's degree.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

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