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Solutions Architect - AI Technology Centre

NVIDIASingaporePosted 20 May 2026

NVIDIA is hiring a Solutions Architect for its AI Technology Centre in Singapore to lead AI research and applications in chemistry and materials science. The role involves acting as a subject matter expert, collaborating with academia and industry, and managing technical initiatives using the ALCHEMI and CUDA-X stacks. Candidates must have a PhD and significant experience in AI for scientific research, alongside strong leadership and communication skills. This position focuses on driving AI ecosystem development and mentoring research teams.

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Experience

5+ years

Function

Engineering

Work mode

Onsite, Singapore

Company

Tier 1

What you will work on

NVIDIA is hiring a Solutions Architect for its AI Technology Centre in Singapore to lead AI research and applications in chemistry and materials science. The role involves acting as a subject matter expert, collaborating with academia and industry, and managing technical initiatives using the ALCHEMI and CUDA-X stacks. Candidates must have a PhD and significant experience in AI for scientific research, alongside strong leadership and communication skills. This position focuses on driving AI ecosystem development and mentoring research teams.

TAL's take

Quality 95/1005/5 clarityTier 1 company

Role at a premier Tier-1 company focusing on high-impact AI research and leadership in the materials science domain.

The JD is extremely crisp, clearly defining technical, leadership, and research responsibilities in a specific AI domain.

Salaries at NVIDIA

29.5 LPA average

Based on 43 Grapevine salary entries for NVIDIA.

View all salaries

Engineering

0 - 2 years | IC2

14 LPA average

Range: 5 - 21 LPA

Engineering

2 - 4 years | IC3

21 LPA average

Range: 20 - 22 LPA

Engineering

4 - 6 years | IC3

29 LPA average

Range: 23 - 35 LPA

Engineering

6 - 8 years | SDE 2

30 LPA average

Range: 17 - 37 LPA

Must haves

  • 5+ years experience in AI for Chemistry and Materials Science
  • Familiarity with NVIDIA technologies like ALCHEMI, cuEquivariance, and cuEST
  • PhD in Computational Chemistry, Materials Science, Computer Science or related
  • Proven history of guiding research and engineering projects
  • Technical mentoring experience
  • Proficiency in Python and PyTorch

Tools and skills

pythonpytorchai/ml librariescuda-xalchemicuequivariancecuest

About the company

NVIDIA is a top-tier global technology leader in GPU and AI computing.

Posts mentioning NVIDIA