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Cupertino, CA
Source: Amazon careers · View original posting
From Amazon's posting. “We” and “our” refer to the employer.
We're looking for a talented early-career engineer to join our team that owns the network stack for EC2 distributed AI/ML systems. You'll work on software that enables the world's largest AI models to train across massive GPU clusters, developing support for communication libraries and frameworks like NCCL, NVSHMEM, and NIXL.
This is a ground-floor opportunity to work at the intersection of high-performance computing, networking, and machine learning infrastructure - building the systems that power the largest AI workloads in the cloud.
Solid coursework or project experience in: 1/ Operating Systems (Linux internals, kernel concepts, memory management) 2/ Parallel Computer Architecture (multi-threading, SIMD, GPU programming, cache coherence) 3/ Distributed Systems (consensus, message passing, fault tolerance, scalability)
Familiarity with Linux development environments and toolchains
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