仕事内容Company Description
This company is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world-leading MCUs, SoCs, analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. This company employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the this company's Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. This company believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At this company, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world.OverviewWe are seeking a talented and motivated AI Model Optimization, Quantization and Framework Engineer to join our team. In this role, you will be part of the AI & Cloud Engineering (ACE) Division and Hybrid Compiler team. The team has been developing a comprehensive AI Compiler strategy that delivers a highly flexible platform to explore new DL/ML model architectures, combined with auto-tuned high performance for production environments across a wide range of hardware architectures. The compiler framework, ML graph optimizations and kernel authoring specific to the hardware impacts performance, developer efficiency & deployment velocity of both AI training and inference platforms. You will be developing AI compiler frameworks to accelerate machine learning workloads on the next generation of AI hardware. You will work closely with AI researchers to analyze deep learning models and how to lower them efficiently on AI platforms. You will also partner with hardware design teams to develop compiler optimizations for high performance. You will apply software development best practices to design features, optimization, and performance tuning techniques. You will gain valuable experience in developing machine learning compiler frameworks and will help in driving next generation hardware software co-design for AI domain specific problems. Our division’s mission is to use the latest AI and cloud technologies to develop the best AI inference for advanced driver safety engineers building self-driving vehicles and other high performance compute products. This company is the leading automotive electronics supplier globally, and this is a rare opportunity to develop the infrastructure required to deploy our AI software to the billions of devices we ship to customers every year. You will join our newly formed AI & Cloud Engineering organization of around 100 software engineers. Due to strong demand for our AI-related products we are planning to triple in size in the next three years, so there is lots of room for you to help us grow the team together while remaining small. We are focusing on our hiring into our Tokyo, Beijing and Singapore sites. If you are successful and living outside of these cities, we can support your relocation to one of the three sites based on team needs.
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【東証プライム上場 関西大手機械メーカー】 本社生産管理部門（システム導入支援・要件定義も含む）
【東証プライム上場 財閥系 海運会社】 陸上総合職
株式会社エリートネットワーク 情報管理部 社内SE
人の営みと地球環境が調和できる社会。 車載電池は一つの有効な手段になる。
創業120年超、蓄積された技術資産を活用し、 多様な領域でトップクラスのシェアを確立。 グローバル事業の拡大も加速させています。
「夢に見るほど電池が好き」 な社員たちが、化学・電気・機械のノウハウを結集し、次世代エネルギーデバイスの開発に挑む。
エネルギー、インフラ、ストレージ。3つの注力事業において、新しい人材が 「新生東芝」 を動かし始めています。
成長への 「挑戦の第二幕」 に向けて、地に足を着けたチャレンジャーが活躍中。
長野発。オンリーワンの技術に挑み続け、世界の家庭、オフィス、そして産業分野へ。人の心を動かす領域を広げています。
