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, AI4Science and Deep Learning toolkits.
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 with AI4Chemistry, computational biology and familiar with NVIDIA technologies (i.e. AI model training using accelerated AI compute, etc.).
A PhD or equivalent experience in Computational Biology, Artificial Intelligence 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 www.nvidiabenefits.com/

, , JR2017134