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、職種カテゴリは営業・技術営業です。
応募判断に必要な情報を先に確認
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。
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 37件/同職種 125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。
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years! It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join the team and discover how you can build a lasting impact on the world.Join NVIDIA's dynamic team as a Developer Relations Manager, Higher Education and Research, where you collaborate with leading research labs! In this role, you will partner directly with research labs to speed up the adoption of NVIDIA’s advanced AI and computing platforms.The ideal candidate blends extensive technical knowledge with solid experience in research collaboration and a demonstrated history of transforming advanced technologies into important, research-oriented outcomes.What you'll be doingDevelop strategic partnerships with leading research labs and principal researchers whose work aligns with our technology roadmap.Act as a trusted technical advisor for research labs, identifying and accelerating high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects.Stay current on research papers across affiliated domains to anticipate emerging trends and provide technical direction on future collaboration areas.Collaborate cross-functionally with Account Managers, Solution Architects, and Business Development teams to drive researcher enablement.Forge closer ties with lab personnel, understanding organizational dynamics and the full scope of research being conducted.Attend domain scientific conferences and facilitate NVIDIA participation alongside other subject matter experts.Empower leading researchers to accelerate their breakthroughs using NVIDIA technology, while amplifying their impact through academic publications, conference presentations, and high-quality technical blog posts.Represent the needs of researchers internally by translating academic feedback into actionable insights that build product development, education programs, and platform roadmaps.What we need to seePhD in Computer Science, AI, Machine Learning, Computational Science or a related technical field; or equivalent experience demonstrating comparable research depth.Over 6 years of experience in research or industry, with a proven record of advancing innovation at the crossroads of AI and Science.Deep expertise in applying AI, including Generative AI and Physical AI, to a specific scientific domain is required. A broad intellectual foundation is also necessary to translate AI breakthroughs across fields such as Materials Science, Physics, and complex scientific workflows.Strong understanding of frontier research challenges in AI and computational science.Hands-on experience building or evaluating AI systems using modern frameworks, model APIs, orchestration tools, retrieval systems, sandboxed execution for research-grade deployment.Established research credibility evidenced by high-impact publications, contributions to open-source scientific software, or successful collaborations with academic/national laboratories.Native-level Japanese proficiency and advanced English proficiency—specifically the ability to lead web conferences beyond just email correspondence—are strictly required.Ways to stand out from the crowdExperience with NVIDIA technologies and platforms such as CUDA, CUDA-X libraries, NVIDIA AI Enterprise, NIM, NeMo/Nemotron, NeMo Agent Toolkit, Omniverse, Isaac, RAPIDS, TensorRT, Triton Inference Server, ALCKEMI, Physics Nemo or accelerated computing systems.Maintained connections with prominent academic labs, research institutes, national labs, or major open source research communities.Track record translating frontier research into demos, reference architectures, workshops, technical content, or developer enablement programs.Experience speaking publicly at academic conferences, research workshops, technical summits, or university facing events.Ability to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growth.We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability. We provide reasonable accommodations for individuals with disabilities during the application, interview, job performance, and employment benefits. Please contact us to request accommodations.Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/#deeplearning
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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)
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years! It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.Today, we’re tapping in