解决方案架构师 - AI技术中心
Solutions Architect - AI Technology Centre
NVIDIA 在过去25多年里一直在改变计算机图形学、个人电脑游戏和加速计算。这是一段独特的创新历史，由伟大的技术和令人惊叹的人才所驱动。如今，我们正在利用人工智能的无限潜力，定义计算的新时代。在这个时代，我们的GPU将成为能够理解世界的计算机、机器人和自动驾驶汽车的大脑。做以前从未做过的事情需要远见、创新和世界上最优秀的人才。作为NVIDIA的一员，你将置身于一个多元化、有支持性的环境，每个人都能被激励去做出最好的工作。加入我们的团队，看看你如何对世界产生持久的影响。
你将负责：
作为NVIDIA AI技术中心（NVAITC）的解决方案架构师，你将引领AI研究和应用的发展。你将：
- 作为研究与工程领域的专家，推动与学术界和产业界的内部和外部合作。
- 作为NVIDIA技术的专家，特别是ALCHEMI，以及更广泛地说，我们的CUDA-X库。
- 跟踪化学和材料科学领域最新的AI进展，包括原子模拟、机器学习原子势能（MLIPs）、量子化学和分子及材料的生成模型。
- 领导和指导初级技术人员，鼓励协作和包容的环境。
- 与管理团队合作，制定并实施涉及高等教育机构（IHL）、产业和政府的战略性合作和项目，确保顺利交付和实施。
- 在NVIDIA全球推动生态系统中加速AI发展的计划中发挥关键作用，通过组织和支援研讨会、研讨会和技术分享会议。
- 指导合作者、实习生和学生，提供指导和技能培训，以成功实施AI项目。
- 开发与NVIDIA技术相关的教程、演示和研讨会材料，展示我们的世界级创新。
我们需要看到：
- 在“化学和材料科学中的AI”方面有5年以上经验，并熟悉NVIDIA技术（如ALCHEMI、cuEquivariance、cuEST）。
- 在计算化学、材料科学与工程、计算机科学或相关研究领域拥有博士学位或同等经验。
- 有指导和协助研究与工程项目的经验。
查看英文原文
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. Come join the team and see how you can make a lasting impact on the world.
What you'll be doing:
As a Solutions Architect in NVIDIA AI Technology Center (NVAITC), you will be leading the way in AI research and application. You will:
- Serve as a research & engineering subject matter expert (SME), driving internal and external collaborations with academia and industry.
- Serve as the technical expert for NVIDIA technologies, in particular ALCHEMI and more broadly, our CUDA-X libraries.
- Keep up to date on the latest AI advances in Chemistry and Materials Science, including atomistic simulation, machine learning interatomic potentials (MLIPs), quantum chemistry, and generative models for molecules and materials
- Lead and mentor junior technical members, encouraging a collaborative and inclusive environment.
- Collaborate with the management team to develop and implement strategic engagements and projects involving institutes of higher learning (IHLs), industry, and government, ensuring seamless delivery and implementation.
- Play a key role in NVIDIA’s global initiative to foster accelerated AI throughout the ecosystem by facilitating and supporting workshops, symposiums, and technical sharing sessions.
- Mentor collaborators, interns, and students, providing mentorship and skills training to successfully implement AI projects.
- Develop NVIDIA technology-related tutorials, demos, and workshop materials, showcasing our world-class innovations.
What We Need To See:
- Demonstrated 5+ years of experience ‘AI for Chemistry and Materials Science’ and familiarity with NVIDIA technologies (e.g., ALCHEMI, cuEquivariance, cuEST).
- A PhD or equivalent experience in Computational Chemistry, Materials Science and Engineering, Computer Science, or related research domains.
- A proven history of guiding and assisting research & engineering projects.
- Technical mentoring experience in areas such as research/engineering projects.
- Experience in AI ecosystem development and collaboration initiatives.
- Proficiency in coding with Python and using AI/ML libraries such as PyTorch.
- Excellent time management skills, self-motivation, and the ability to work both independently and within a team.
- Effective communication skills, enabling you to articulate complex concepts clearly and concisely.
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
Originally posted on Himalayas