Solutions Architect - AI Development

About the Role

NVIDIA is looking for a Solutions Architect to join the NVIDIA AI Technology Center (NVAITC) in Singapore. This role sits at the intersection of AI research, engineering, and ecosystem collaboration, with a focus on helping drive practical AI adoption across academia, industry, and government. You will work in a highly collaborative environment and contribute to initiatives that advance accelerated computing and AI innovation.

Key Responsibilities

• Guide and support junior technical team members while promoting an inclusive, cooperative team culture.
• Partner with leadership to shape and execute strategic programs and projects involving institutes of higher learning, industry partners, and government stakeholders.
• Act as a subject matter expert across research and engineering efforts, supporting collaborations with academic and industry teams.
• Provide technical depth on NVIDIA platforms and tools such as Omniverse, NeMo, NIMs, RAPIDS, and deep learning toolkits.
• Contribute to NVIDIA’s global efforts to accelerate AI adoption by organizing and supporting workshops, symposiums, and technical knowledge-sharing sessions.
• Mentor collaborators, interns, and students to help them build the skills needed to deliver AI projects successfully.
• Create tutorials, demos, and workshop content that highlight NVIDIA technologies and solutions.

Requirements

• At least 5 years of hands-on experience working with NVIDIA technologies, including areas such as Omniverse, NeMo, NIMs, RAPIDS, and accelerated AI model training.
• Strong familiarity with AI research areas such as digital twins, synthetic data generation, immersive multimedia, and generative AI.
• PhD-level training or equivalent practical experience in artificial intelligence or a closely related research field.
• Proven experience supporting research and engineering initiatives from a technical standpoint.
• Background in mentoring technical contributors on research or engineering work.
• Exposure to ecosystem-building efforts and collaboration-driven AI initiatives.
• Solid programming ability in Python and practical use of AI/ML libraries such as PyTorch.
• Deep understanding of synthetic data, digital twins, immersive multimedia, machine learning, and deep learning methods.
• Strong organizational skills, self-drive, and the ability to work effectively on your own and in a team setting.
• Clear and effective communication skills with the ability to explain complex technical ideas succinctly.

Compensation and Benefits

NVIDIA states that it offers competitive pay along with a comprehensive benefits package for employees and their families.

Additional Information

Reference code: JR2016896.