解决方案架构师，AI科学与高性能计算
Solutions Architect, AI for Science and HPC
生成式AI正在改变一切。从超级计算、高等教育、制造、半导体、储能、气候科学到农业。像ClimaX、GenSLM、MatterGen等AI模型和工具，是将AI应用于科研和发现的典范。我们现在正在寻找一位高级解决方案架构师，与日本领先的科研机构合作，推动GPU加速计算解决方案的采用，包括机器学习、深度学习，特别是生成式AI在科研和发现中的应用。
你将负责：
- 探索生成式AI（模型训练、微调和定制化）的最新进展，同时支持构建用于科研用例的AI。
- 与总部及全球内部技术相关方紧密合作，领导研究协作。
- 使NVIDIA战略客户能够使用加速计算堆栈（包括NIMs和NeMo微服务）构建AI解决方案。
- 与开发者合作，并通过提供深入的技术指导，帮助他们接入NVIDIA AI平台和服务。
- 推动对话，构建架构和演示，基于NVIDIA产品加速客户的AI旅程，并与我们的业务发展和市场团队密切合作。
- 创建或运行需要演示技能、解释复杂主题以及使用Python编写代码执行数据管道、训练ML/DL模型并将其部署在基于容器的编排器上的概念验证和演示。
我们希望看到：
- 计算机科学、工程、数学或物理专业的学士、硕士或博士学位
- 日语的口头、书面沟通和专业技术展示能力出色。商务级别的英语沟通能力也是要求
- 5年以上与生成式AI或深度学习相关的行业或学术经验
- 强大的编码开发和调试技能。包括使用Python、C/C++、Bash和Linux的经验
- 在动态环境中有效多任务处理的能力，具备强大的分析和解决问题的能力！
- 主动积极，有强烈的意愿与客户、合作伙伴和同事分享知识
脱颖而出的方式：
- 在高性能计算、AI/ML和/或材料发现、气候、生物科学及相关领域具有显著的技术能力。
- 有与工程和产品团队进行技术协作的经验——包括架构设计、代码编写
查看英文原文
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 Physics
- Excellent 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 Learning
- Strong coding development and debugging skills. Including experience with Python, C/C++, Bash, and Linux
- Ability 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-workers
Ways 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 workshops
- Expertise in deploying large-scale training and inferencing pipeline
- A deep understanding of the latest generative AI or deep learning methods and algorithms
NVIDIA 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.
Originally posted on Himalayas