AI Solutions Architect

4 days ago

Nashville, Tennessee, United States Nvidia Full time
AI Solutions Architect

We are seeking a highly skilled AI Solutions Architect to join our team at NVIDIA. As a key member of our organization, you will be responsible for leading software customer technical engagements with NVIDIA products and technologies.

Key Responsibilities:
  • Develop and demonstrate software solutions based on NVIDIA's groundbreaking 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.
  • 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.
  • 5+ 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.
Preferred Qualifications:
  • Experience working with enterprise developers and customer facing skills.
  • Experience with large-scale production data pipelines and AI model training/deployment.
  • Knowledge of MLOps technologies such as containers, Kubernetes, data center deployments etc.
  • Able to think creatively to debug and solve complex problems.

We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and data science conferences. We are open to remote work location. We look forward to having you join our team.

NVIDIA is widely considered to be one of the technology industry's most desirable employers. We offer highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture.

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