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:

Serving as a Senior Solutions Architect in the NVIDIA AI Technology Centre (NVAITC), you will:

• Lead and mentor junior technical members, encouraging a collaborative and inclusive environment.

• Collaborate with the management team to develop, lead and run strategic engagements and projects involving institutes of higher learning (IHLs), industry, and government, ensuring seamless delivery and implementation.

• Serve as a research & engineering subject matter expert (SME), driving internal and external collaborations with academia and industry.

• Act as the technical resource for NVIDIA technologies such as Ne Mo, NIMs, Omniverse, Jetson, RAPIDS, NGC, and Deep Learning toolkits.

• Contribute actively to NVIDIA’s worldwide mission to advance accelerated AI in the ecosystem by leading 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:

• More than 7 years of relevant experience as an individual contributor or leading a team managing consultations and implementations for academia-to-industry technology, research, and engineering projects.

• Proven experience with NVIDIA technologies (i.e., Ne Mo, RAPIDS, NGC, AI model training using accelerated AI compute, etc.).

• Expertise in AI research domains such as Foundation Models, Generative AI, and NLP.

• A PhD or equivalent experience in Artificial Intelligence or related research domains.

• A proven history of guiding and assisting research & engineering projects.

• Technical mentoring and team leadership experience in areas such as software development.

• Experience in AI ecosystem development and collaboration initiatives.

• Proficiency in coding with Python and using AI/ML libraries such as Pytorch.

• Solid understanding of deep learning, data science, and machine learning techniques.

• 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/