必須 応募条件
構造化できる必須条件の記載なし。公式募集要項をご確認ください。
公式求人詳細
NVIDIA Japanの公式求人。勤務地は東京都、採用区分は中途、職種カテゴリはアプリケーション / プロセス支援です。
応募判断に必要な情報を先に確認
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歓迎条件の明記なし。
求人市場で見るこのポジション
企業 × 関連工程
当DBの直近90日観測で、NVIDIA Japanは新規 18件・終了 0件。現在公開 18件です。
同職種の掲載給与
掲載年収レンジの中点を比較。給与確認済み 6件/同職種 39件です。
類似求人の必須スキル
新規・終了は当DBでの観測差分であり、市場成長や採用需要の増減を単独では示しません。 直近30日は収集対象拡張の影響を含みます。
企業公式情報から整理
企業の公式採用ページまたは公式に委任された採用システムの公開情報を、項目別に整理しています。 確認できない条件は推測せず、公式募集要項への案内を表示します。
Generative AI is revolutionizing. Ranging from supercomputing, higher education, manufacturing, semiconductors, energy storage, climate science and agriculture. The advent of AI models and tools such as ClimaX, GenSLM, MatterGen, etc are some exemplars of adapting AI for scientific research and discoveries. We are now looking for a Senior Solution Architect to work with leading science and research institutes in Japan, promoting the adoption of GPU-accelerated computing solutions—including machine learning, deep learning, and especially generative AI for scientific discovery and research.What you'll be doing:Exploring the latest advancement in GenAI (model training, fine tuning and customization), while supporting building AI for Scientific use cases.Lead research collaboration working closely with internal technical stakeholders, from Headquarters to Worldwide.Enabling NVIDIA strategic customers to build AI solutions using accelerated computing stack including NIMs and NeMo microservices.Collaborate with developers and onboard them to NVIDIA AI platforms and services by providing deep technical guidance.Drive conversations, build architectures and demos to accelerate the customer AI journey based on NVIDIA products, and work closely with our business development and marketing teams.Create or run Proofs of Concept and demos that require presentation skills, the explanation of complex topics, and Python coding to execute data pipelines, train ML/DL models, and deploy them on container-based orchestrators.What we need to see:BS, MS or PhD in Computer Science, Engineering, Mathematics, or PhysicsExcellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.5+ years of industry or academic experience related to Generative AI or Deep LearningStrong coding development and debugging skills. Including experience with Python, C/C++, Bash, and LinuxAbility to multitask effectively in a dynamic environment, strong analytical and problem-solving skills!Proactive and have a strong desire to share knowledge with clients, partners and co-workersWays to stand out from the crowd:Significant technical proficiency in high-performance computing, AI/ML and/or material discovery, climate, bio science and related field.Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshopsExpertise in deploying large-scale training and inferencing pipelineA deep understanding of the latest generative AI or deep learning methods and algorithmsNVIDIA is widely considered to be one of the technological world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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東京都
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正社員
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一部分類項目は未確認です。公式募集要項と確認根拠を併せて確認してください。
C:半導体企業の一般職 — 半導体関連企業の求人だが、仕事内容に半導体固有の接点が確認できない仕事
判定の確度:C(求人業務に半導体固有の接点なし)
Generative AI is revolutionizing. Ranging from supercomputing, higher education, manufacturing, semiconductors, energy storage, climate science and agriculture. The advent of AI models and tools such as ClimaX, GenSLM, M