AI Models GPU Deployment Software Engineer
応募状況をスマホで確認 Whileresume の無料アプリ(iPhone・Android)。
仕事内容
You will enable and optimize key AI models (LLMs, Vision, MultiModal) on AMD GPUs.
Tuning and accelerating AI frameworks (PyTorch, TensorFlow) in upstream repositories.
Collaborate with internal GPU library teams to analyze training and inference pipelines.
Work with open-source framework maintainers to integrate changes upstream.
Optimize GPU kernels and AI operators (GEMM, Attention) for scale-up (multi-GPU) and scale-out (multi-node) deployments.
Apply software engineering best practices—debugging, testing, and performance analysis—to deliver robust solutions.
Tuning and accelerating AI frameworks (PyTorch, TensorFlow) in upstream repositories.
Collaborate with internal GPU library teams to analyze training and inference pipelines.
Work with open-source framework maintainers to integrate changes upstream.
Optimize GPU kernels and AI operators (GEMM, Attention) for scale-up (multi-GPU) and scale-out (multi-node) deployments.
Apply software engineering best practices—debugging, testing, and performance analysis—to deliver robust solutions.
求人の全文を見る
業務内容、求める人物像、スキル、待遇 — 無料アカウントの作成で閲覧できます。
または
すでにアカウントをお持ちですか?
ログインこちらの求人もおすすめです
近い求人はまだありません — 最新の求人をご紹介します。
? Lecturer / Senior Lecturer in Learning Systems ? Assistant Professor - South Asian History ? Assistant Professor - African and/or Caribbean Francophone Literature ? Assistant Professor - Social and Political Philosophy ? Assistant Professor - Global Anglophone Literature and Postcolonial Theory ? Associate Product Manager – Toronto