Tokyo Renesas Electronics Full time
Job Description
  • Development of AI compiler framework, high performance kernel authoring and acceleration onto next generation of hardware architectures.
  • Contribute to the development of the industry-leading machine learning framework core compilers to support new state of the art inference and training machine learning/AI accelerators and optimize their performance.
  • Collaborating with AI research scientists to accelerate the next generation of deep learning models such as recommendation systems, computer vision, or natural language processing.
  • Performance tuning & optimizations of deep learning frameworks.
  • Model optimization by developing the pruning & quantization algorithms and hardware neural architecture search technique.
Qualifications
  • Bachelor's or Master's degree in computer science, machine learning, mathematics, physics, electrical engineering or related field.
  • Experience in C/C++, Python, or other related programming language
  • Experience in accelerating deep learning models or libraries on hardware architectures.
  • Experience with Post Training Quantization (PTQ), Quantization Aware Training (QAT) and other quantization techniques and strategies
  • Experience working with machine learning frameworks such as PyTorch, TensorFlow, ONNX etc.
  • Ability to speak and write in English at a business level.
  • Experience of Product Owner of scrum team is plus.
Additional Information

ルネサスは「人々の暮らしを楽(ラク)にする」技術で持続可能な将来を築いていく日本を代表する半導体企業です。自動運転やIoTなど多様な分野において、先進的な製品やソリューションを提供しています。当社の製品は、世界中の主要な電子機器メーカーに採用され、日々の暮らしに欠かせない身の回りのあらゆる電子機器に使用されています。 当社では世界25カ国の製造・開発・販売拠点において20,000人以上の従業員が働いています。グローバルチームとして、すべての従業員が、行動指針である「Renesas Culture」をもとに、互いに学習、協力、成長、目標に向けて前進しながら、日々さまざまな課題解決に取り組んでいます。 当社を取り巻く環境は近年の活発な大型M&Aを含めて、他に類を見ないほどダイナミックに動いています。今後もインフラやデータエコノミー関連の急成長市場でのシェア拡大や、産業/IoTや自動車分野でのプレゼンス強化を図ります。変化の激しい中、グローバルチームの一員として、私たちと一緒に持続可能な将来を築いていただける方をお待ちしています。



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