Nvidia Senior Solutions Architect 

Singapore, Singapore 

184645015

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.

As a Senior Solutions Architect in NVIDIA AI Technology Center (NVAITC), you will be at the forefront of AI research and implementation. You will:

• 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.

• 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 NeMo, NIMs, Omniverse, Jetson, RAPIDS, NGC, and Deep Learning toolkits.

• Be an active part of NVIDIA’s global mission to promote accelerated AI within 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.

• 7+ proven experience with NVIDIA technologies (i.e., NeMo, 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 strong track record of leading and supporting 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.