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AMD
Austin, Texas
Source: AMD careers · View original posting
From AMD's posting. “We” and “our” refer to the employer.
AMD is seeking a Principal AI Software & Systems Architect to help drive adoption of AMD AI solutions in the on premise, enterprise environment. This role requires deep expertise in AI software stacks, inference runtimes, heterogeneous computing, and hardware-aware software architecture.
You will analyze real-world AI deployments, determine how workloads should be mapped across CPUs, GPUs, NPUs, and distributed infrastructure, identify platform and ecosystem gaps, and drive the technical work required to enable successful enterprise deployments on AMD platforms. The ideal candidate can reason about AI workloads from framework to hardware and translate customer requirements into software, platform, and product direction.
The ideal candidate is a systems-oriented software architect with deep understanding of AI frameworks, accelerators, and performance engineering. You are comfortable taking a customer deployment built for another platform, determine what parts run unchanged, what parts must be modified, what parts are missing from the ecosystem, and what engineering investments are required to make the workload successful on AMD.
AMD is seeking a Principal AI Software & Systems Architect to help drive adoption of AMD AI solutions in the on premise, enterprise environment. This role requires deep expertise in AI software stacks, inference runtimes, heterogeneous computing, and hardware-aware software architecture.
You will analyze real-world AI deployments, determine how workloads should be mapped across CPUs, GPUs, NPUs, and distributed infrastructure, identify platform and ecosystem gaps, and drive the technical work required to enable successful enterprise deployments on AMD platforms. The ideal candidate can reason about AI workloads from framework to hardware and translate customer requirements into software, platform, and product direction.
The ideal candidate is a systems-oriented software architect with deep understanding of AI frameworks, accelerators, and performance engineering. You are comfortable taking a customer deployment built for another platform, determine what parts run unchanged, what parts must be modified, what parts are missing from the ecosystem, and what engineering investments are required to make the workload successful on AMD.
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