NVIDIA
AI
SolutionsArchitect-AITechnologyCentre
Neural analysis suggests this role is
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“Solutions Architect - AI Technology Centre at NVIDIA. Skills: AI for Chemistry and Materials Science, NVIDIA technologies, Python, PyTorch. Leading the way in AI research and application. Serving as a research & engineering subject matter expert (SME)”
What You'll Achieve.
Make a lasting impact on the world; Successfully implement AI projects; Foster accelerated AI throughout the ecosystem
Industry & Context.
What They're Looking For.
Must Have
5+ years of experience ‘AI for Chemistry and Materials Science’, PhD or equivalent experience in Computational Chemistry, Materials Science and Engineering, Computer Science, or related research domains, 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, Using AI/ML libraries such as PyTorch, Excellent time management skills, Self-motivation, Ability to work both independently and within a team, Effective communication skills
Nice to Have
Familiarity with NVIDIA technologies (e. g. , ALCHEMI, cuEquivariance, cuEST)
What You'll Do.
Leading the way in AI research and application
Serving as a research & engineering subject matter expert (SME)
Driving internal and external collaborations with academia and industry
Serving as the technical expert for NVIDIA technologies
Keeping up to date on the latest AI advances in Chemistry and Materials Science
Leading and mentoring junior technical members
Collaborating with the management team to develop and implement strategic engagements and projects
Ensuring seamless delivery and implementation of projects
Playing a key role in NVIDIA’s global initiative to foster accelerated AI throughout the ecosystem
Facilitating and supporting workshops
and technical sharing sessions
Mentoring collaborators
Providing mentorship and skills training to successfully implement AI projects
Developing NVIDIA technology-related tutorials
and workshop materials
How You'll Work.
Team & Collaboration
Driving internal and external collaborations with academia and industry; Encouraging a collaborative and inclusive environment; Collaborating with the management team; Working within a team
Communication Scope
Effective communication skills; Articulate complex concepts clearly and concisely
Process & Methodology
Guiding and assisting research & engineering projects, Developing and implementing strategic engagements and projects
Full Job Description
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 technol
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