どんな仕事かAIによる生成

Identify and drive improvements to end-to-end inference performance of OpenAI and other state-of-the-art LLMs, and optimize and monitor LLM performance. Build software tools for performance insights and deployment of models on new Nvidia and AMD GPUs, and design, implement, and test components for AI/DNN/LLM frameworks and tools.

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応募資格

必須

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Technical background and solid foundation in software engineering principles, computer architecture, GPU architecture, HW neural net acceleration
Experience in end-to-end performance analysis and optimization of state of the art LLMs, including proficiency using GPU profiling tools
Experience in DNN/LLM inference and experience in one or more DL frameworks such as PyTorch, Tensorflow, or ONNX Runtime and familiarity with CUDA, ROCm, Triton
Cross-team collaboration skills

求める人物像

the desire to collaborate in a team of researchers and developers

募集要項最終確認 11/13

職種: 機械学習エンジニア
雇用形態: 記載なし
役職: Principal Software Engineer
給与: 記載なし
勤務地: 記載なし
働き方: 記載なし
経験年数: 4年以上
学歴: 大学院修了以上
掲載日: 2026/11/03 14:26（10日前）
最終確認: 2026/11/13 02:26（今日）

仕事内容

募集内容

As an Engineer on the team the common tasks of the job would include, but not be limited to:
Identify and drive improvements to end-to-end inference performance of OpenAI and other state-of-the-art LLMs
Optimize and monitor performance of LLMs and build SW tooling to enable insights into performance opportunities ranging from the model level to the systems and silicon level to improve customer experience and reduce the footprint of the computing fleet
Enable fast time to market of LLMs/models and their deployments at scale by building SW tools that afford velocity in porting models on new Nvidia and AMD GPUs
Design, implement, and test functions or components for our AI/DNN/LLM frameworks and tools
Speeding up/reducing complexity of key components/pipelines to improve performance and/or efficiency of our systems
Communicate and collaborate with our partners both internal and external

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Principal Software Engineer

どんな仕事かAIによる生成

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応募資格

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求める人物像

募集要項最終確認 11/13

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