NVIDIA

Senior Applications Engineer, GenAI for Science

NVIDIA

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $124,000 - $230,000 per year

Job Level

Senior

Tech Stack

PythonPyTorch

About the role

  • Work alongside research teams worldwide adopting NVIDIA's GenAI software for scientific data/models.
  • Debug, profile and recommend performance optimizations for GenAI models and workflows.
  • Provide customer feedback to engineering teams to improve NVIDIA’s GenAI software for science research.
  • Participate in GenAI hands-on hackathons and workshops to drive adoption of NVIDIA’s GenAI stack in the scientific community.
  • Collaborate with leading science and research institutes (including in Japan) to promote GPU-accelerated computing solutions and deploy GenAI models at scale.
  • Help collaborators convert proofs-of-concept into scalable solutions for scientific discovery.

Requirements

  • Excellent verbal, written communication, and technical presentation skills in Japanese.
  • Business level English communication.
  • Degree or equivalent experience in Computer Science, Applied Mathematics, or related engineering field (Ph.D. or Masters preferred).
  • 5+ years hands-on experience developing, optimizing and running AI/ML models or LLMs using popular frameworks (PyTorch or similar) and languages (C++, Python).
  • Deep understanding of Gen AI model architectures (GPT-x, Llama, MoE, etc).
  • Ability to work independently and as part of a globally distributed team.
  • Expertise in deploying large-scale training and inferencing pipelines.
  • Hands-on experience customizing AI models for multi-modal scientific data.
  • Contributions to cornerstone research papers or open-source projects involving GenAI/AI for science applications.
  • Experience integrating simulation, AI/GenAI models and running them on large-scale HPC systems.
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