Senior Solutions Architect, Supercomputing

NVIDIA

Base: $184,000 - $356,500 usd; bonus/equity: eligi...
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8+ years data science or software development experience
Parallel computing knowledge with gpus
Modern application deployment practices slurm docker kubernetes
** NVIDIA is seeking a Senior Solutions Architect for its Supercomputing team to engage with customers and partners, leveraging NVIDIA’s technology in various industry segments. The ideal candidate will have extensive experience in data science or software development, particularly with GPU computing, modern AI architectures, and strong communication skills. **

Job Summary

  • This role serves as a trusted technical advisor to partners and customers regarding deep learning, data science, and artificial intelligence.
  • The Solutions Architect will bridge technical expertise between industry teams, partners, and customers to define and deliver high-value solutions.
  • Candidates must be passionate about integrating NVIDIA technology into AI workloads, HPC, and enterprise GPU architectures for advanced applications.

Matching Summary

Match Score: 75

** NVIDIA is seeking a Senior Solutions Architect for its Supercomputing team to engage with customers and partners, leveraging NVIDIA’s technology in various industry segments. The ideal candidate will have extensive experience in data science or software development, particularly with GPU computing, modern AI architectures, and strong communication skills. **

Salary

Base: $184,000 - $356,500 USD; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • 8+ years data science or software development experience
  • Parallel computing knowledge with GPUs
  • Modern application deployment practices Slurm Docker Kubernetes
  • Generative AI and Agentic AI architecture frameworks
  • Strong written and oral communication skills

Nice-to-have

  • Experience applying data science to industry problems
  • Published record of thought leadership in technical area
  • CUDA programming and optimization experience
  • Network software development experience
  • Deep Neural Network Machine Learning R&D background

Key Requirements

  • Bachelor's degree in Engineering, Mathematics, Physics, or Computer Science
  • U.S. citizenship required
  • Security clearance required

Work Rights

Must have US citizenship

Tailored Resume

Cover Letter