- Experiência
- Mais de 5 anos
- Salário
- —
- Vagas
- 1
- Publicado
- há 2 horas
- Modo de trabalho
- No escritório
- Educação
- PhD or equivalent experience
- Elegibilidade
- Professionals with substantial NVIDIA technology experience, an AI or related research background, and the ability to lead technical collaboration efforts across academia, industry, and government are suitable for this role.
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Onde você trabalhará
Descrição da vaga
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.