NVIDIA

3 months ago

Solutions Architect - AI Technology Centre

✓ 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 application initiatives as a Solutions Architect within NVIDIA’s AI Technology Center. Serve as SME for NVIDIA technologies (Alchemi, AI4Science, deep learning toolkits), drive collaborations with academia and industry, mentor junior engineers, work with management on strategic engagements with IHLs, industry and government, and create tutorials and workshops to accelerate AI adoption.

Location: Singapore

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Serve as a research & engineering subject matter expert (SME), driving internal and external collaborations with academia and industry.
•Serve as the technical expert for NVIDIA technologies, in particular Alchemi and more broadly, AI4Science and Deep Learning toolkits.
•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.
•Play a key role in NVIDIA’s global initiative to foster accelerated AI throughout the ecosystem by facilitating and supporting workshops, symposiums, and technical sharing sessions.

Key Requirements

•Demonstrated 5+ years of experience with AI4Chemistry, computational biology and familiarity with NVIDIA technologies (e.g., AI model training using accelerated AI compute).
•A PhD or equivalent experience in Computational Biology, Artificial Intelligence or related research domains.
•Proven history of guiding and assisting research & engineering projects.
•Technical mentoring experience in areas such as research/engineering projects.
•Experience in AI ecosystem development and collaboration initiatives.

Experience:5+ yearsAIComputational biologyAI ecosystem

Education:PhD / Doctorate

Skills:CommunicationMentoringTime managementCollaborationLeadership

Tech Stack:PythonPyTorchAlchemiAI4Science

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 Technology Centre

✓ 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

•Serve as a research & engineering subject matter expert (SME), driving internal and external collaborations with academia and industry.
•Serve as the technical expert for NVIDIA technologies, in particular Alchemi and more broadly, AI4Science and Deep Learning toolkits.
•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.
•Play a key role in NVIDIA’s global initiative to foster accelerated AI throughout the ecosystem by facilitating and supporting workshops, symposiums, and technical sharing sessions.

Key Requirements

•Demonstrated 5+ years of experience with AI4Chemistry, computational biology and familiarity with NVIDIA technologies (e.g., AI model training using accelerated AI compute).
•A PhD or equivalent experience in Computational Biology, Artificial Intelligence or related research domains.
•Proven history of guiding and assisting research & engineering projects.
•Technical mentoring experience in areas such as research/engineering projects.
•Experience in AI ecosystem development and collaboration initiatives.

Experience:5+ yearsAIComputational biologyAI ecosystem

Education:PhD / Doctorate

Skills:CommunicationMentoringTime managementCollaborationLeadership

Tech Stack:PythonPyTorchAlchemiAI4Science

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