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ExecutivePlacements.com · 12 hours ago

GPU Exerciser Software Engineer

Austin, TX

Full-time

Onsite

Mid Level

AMD is a leading company focused on building innovative products that enhance next-generation computing experiences. The GPU Exerciser Software Engineer will architect and develop low-level GPU test cases to identify silicon and software bugs, collaborating closely with various teams to ensure product excellence.

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Responsibilities

Design and implement innovative exercisers and stress applications that leverage deep understanding of GPU microarchitecture to uncover subtle hardware and software issues

Drive complex debug efforts from failure observation through root-cause analysis, working closely with hardware, firmware, and software teams

Build and enhance in-house stress and validation frameworks, improving their scalability, coverage, and ease of use for the broader engineering organization

Qualification

GPU programmingLinux systems programmingGPU architecture expertiseModern C++ programmingMicroprocessor validationLow-level programmingParallel programmingConcurrency modelsMemory consistency modelsLinux device driversLinux kernel developmentLinux userspace programming

Required

Strong collaboration with stakeholders from design, emulation, driver, firmware, and debug teams

Background or strong skills in both GPU and systems programming (Linux kernel and userspace)

Highly analytical and detail-oriented individual with proven problem-solving skills

Strong technical expertise in GPU programming and Linux systems programming

Ability to work collaboratively as part of a team and independently

Ability to manage workload efficiently with minimal supervision

Design and implement innovative exercisers and stress applications that leverage deep understanding of GPU microarchitecture to uncover subtle hardware and software issues

Drive complex debug efforts from failure observation through root-cause analysis, working closely with hardware, firmware, and software teams

Build and enhance in-house stress and validation frameworks, improving their scalability, coverage, and ease of use for the broader engineering organization

Bachelors or Masters Degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field