NVIDIA

3 months ago

Solutions Architect - AI Development

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead AI research and applications as part of NVIDIA AI Technology Center, mentoring junior engineers, collaborating with academia and industry, and serving as a technical SME for NVIDIA AI tools (Omniverse, NeMo, RAPIDS). Drive strategic engagements with institutes, industry, and government, and develop tutorials and workshops to showcase NVIDIA innovations.

Location: Singapore

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead and mentor junior technical members, encouraging a collaborative and inclusive environment.
•Collaborate with management to develop and implement strategic engagements and projects involving institutes of higher learning, industry, and government.
•Serve as a research and engineering subject matter expert, driving collaborations with academia and industry.
•Act as the technical expert for NVIDIA technologies (Omniverse, NeMo, NIMs, RAPIDS, DL toolkits) across internal and external initiatives.
•Develop tutorials, demos, and workshop materials showcasing NVIDIA innovations and facilitating knowledge sharing.

Key Requirements

•5+ years of experience with NVIDIA technologies (Omniverse, NeMo, NIMs, RAPIDS, or AI model training with accelerated compute)
•Proficiency in AI research areas including Digital Twins, Synthetic Data Generation, Immersive Multimedia, and Generative AI
•PhD or equivalent experience in Artificial Intelligence or related fields
•Proven history of guiding research and engineering projects
•Technical mentoring experience in research/engineering contexts

Experience:5+ yearsAIGPUAccelerated computing

Education:PhD / Doctorate

Skills:PythonPyTorchOmniverseNeMoNIMsRAPIDSAI model trainingDigital twinsGenerative AI

Languages:English

Tech Stack:PythonPyTorchOmniverseNeMoNIMsRAPIDSAI

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 months ago

Solutions Architect - AI Development

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Singapore

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead and mentor junior technical members, encouraging a collaborative and inclusive environment.
•Collaborate with management to develop and implement strategic engagements and projects involving institutes of higher learning, industry, and government.
•Serve as a research and engineering subject matter expert, driving collaborations with academia and industry.
•Act as the technical expert for NVIDIA technologies (Omniverse, NeMo, NIMs, RAPIDS, DL toolkits) across internal and external initiatives.
•Develop tutorials, demos, and workshop materials showcasing NVIDIA innovations and facilitating knowledge sharing.

Key Requirements

•5+ years of experience with NVIDIA technologies (Omniverse, NeMo, NIMs, RAPIDS, or AI model training with accelerated compute)
•Proficiency in AI research areas including Digital Twins, Synthetic Data Generation, Immersive Multimedia, and Generative AI
•PhD or equivalent experience in Artificial Intelligence or related fields
•Proven history of guiding research and engineering projects
•Technical mentoring experience in research/engineering contexts

Experience:5+ yearsAIGPUAccelerated computing

Education:PhD / Doctorate

Skills:PythonPyTorchOmniverseNeMoNIMsRAPIDSAI model trainingDigital twinsGenerative AI

Languages:English

Tech Stack:PythonPyTorchOmniverseNeMoNIMsRAPIDSAI

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor