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Austin, Texas
Source: AMD careers · View original posting
From AMD's posting. “We” and “our” refer to the employer.
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
The AMD Client and Graphics team is looking to hire a Memory Subsystem Post-Silicon Validation Engineer. You will work hands-on in a collaborative lab environment to bring up first silicon, validate DDR and related memory subsystems, isolate complex hardware and software issues, and confirm robust fixes. You will partner broadly with design, firmware, software, platform, and customer-facing teams while building deep technical breadth across cutting-edge memory technologies.
The successful person is customer-oriented, curious, accountable, and comfortable working hands-on in a fast-moving lab. They communicate technical findings clearly, collaborate effectively across disciplines, approach ambiguous problems with structure, learn quickly, and consistently deliver high-quality commitments on time.
The AMD Client and Graphics team is looking to hire a Memory Subsystem Post-Silicon Validation Engineer. You will work hands-on in a collaborative lab environment to bring up first silicon, validate DDR and related memory subsystems, isolate complex hardware and software issues, and confirm robust fixes. You will partner broadly with design, firmware, software, platform, and customer-facing teams while building deep technical breadth across cutting-edge memory technologies.
The successful person is customer-oriented, curious, accountable, and comfortable working hands-on in a fast-moving lab. They communicate technical findings clearly, collaborate effectively across disciplines, approach ambiguous problems with structure, learn quickly, and consistently deliver high-quality commitments on time.
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