NVIDIA

Senior Solutions Architect, Generative AI

NVIDIA

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, North Carolina, Utah

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Salary

💰 $184,000 - $287,500 per year

Job Level

Senior

Tech Stack

KubernetesPython

About the role

  • Develop and demonstrate software solutions based on NVIDIA’s ground breaking AI software and hardware technologies to customers
  • Develop GenAI model pipeline and perform in-depth analysis and optimization to ensure the best performance on current- and next-generation GPU architectures
  • Develop and debug software for NVIDIA and OSS AI frameworks and libraries
  • Lead and develop proof-of-concepts (PoCs) for software solutions applied to Consumer Internet industry use-cases such as NLP/LLM, retrieval, recommender, etc. by working closely with customer's AI developers
  • Build collateral (notebook/code) for PoCs
  • Work closely with business development team owning the technical relationship and enabling customer in building innovative solutions based on NVIDIA technologies
  • Partner with NVIDIA software engineering, product, sales teams to secure design wins at customers.
  • Enable development and growth of NVIDIA product features through customer feedback and PoC evaluations

Requirements

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience
  • 8+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs
  • Experience with GenAI applications and LLM training/fine-tuning, inference optimization and/or RAG pipelines
  • Ability to communicate your ideas/code clearly through GitHub, documentation
  • Great teammate who enjoys collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing
  • Effective verbal/written communication, and technical presentation skills
  • Self-starter with passion for growth, enthusiasm for continuous learning and sharing findings across the team