NVIDIA

AI

SolutionsArchitect-AITechnologyCentre

Singapore FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Solutions Architect - AI Technology Centre at NVIDIA. Skills: AI for Chemistry and Materials Science, NVIDIA technologies, Python, PyTorch, Technical mentoring, AI ecosystem development. Leading the way in AI research and application. Serve as a research & engineering subject matter expert (SME)”

What You'll Achieve.

Define the next era of computing; Make a lasting impact on the world; Seamless delivery and implementation of projects; Successfully implement AI projects

Industry & Context.

AI

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

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

Keep up to date on the latest AI advances in Chemistry and Materials Science

Lead and mentor junior technical members

Collaborate with the management team to develop and implement strategic engagements and projects

Play a key role in NVIDIA’s global initiative to foster accelerated AI throughout the ecosystem

Develop 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; Collaborate with the management team to develop and implement strategic engagements and projects; Work both independently and within a team

Communication Scope

Effective communication skills; Articulate complex concepts clearly and concisely

Process & Methodology

Guiding and assisting research & engineering projects, Develop and implement 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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