What are the responsibilities and job description for the GPU Architecture Validation Lead position at Advanced Micro Devices, Inc?
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THE ROLE:
Our growing team plays a major role in architecting and shaping data center GPUs offered by AMD. As part of the Exerciser team, you will architect and develop low-level GPU testcases (“exercisers”) to expose silicon and software bugs. This will require strong collaboration with stakeholders from design, emulation, driver, firmware, and debug teams.
Candidates with a background or strong skills in both GPU and systems programming (Linux kernel and userspace) will excel in this role. Out-of-the-box thinking and leveraging of novel approaches to address tough technical challenges is encouraged. Join our growing team to accelerate the introduction of cutting-edge compute products into the datacenter market.
THE PERSON:
We are seeking a highly analytical and detail-oriented individual with proven problem-solving skills. The successful candidate will possess strong technical expertise, specifically in GPU programming and Linux systems programming. You should be comfortable working both collaboratively as part of a team and independently, demonstrating the ability to manage your workload efficiently with minimal supervision.
KEY RESPONSIBILITIES:
- Develop new stress applications utilizing knowledge of the underlying microarchitecture to discover issues in hardware and software
- Participate in debugging found issues to root cause
- Contribute to in-house stress application frameworks
PREFERRED EXPERIENCE:
- The preferred candidate has worked on at least two projects utilizing many of the skills below:
- GPU programming (CUDA / HIP / OpenCL / SP3 assembly)
- GPU architecture expertise
- Microprocessor validation/ verification
- Experience with parallel programming, concurrency, and memory consistency models
- Modern C programming
- Low-level/firmware programming
- Linux device drivers and/or kernel development
- Linux userspace systems programming
EDUCATION:
- Bachelor’s or Master’s Degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
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