Senior Applications Engineer, GenAI for Science

at Nvidia
đź“Ť Santa Clara, United States
USD 124,000-230,000 per year
SENIOR
âś… On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 6 Machine Learning @ 4 Communication @ 4 Mathematics @ 4 PyTorch @ 6 GPU @ 4

Details

Generative AI is being applied across supercomputing, higher education, manufacturing, semiconductors, energy storage, climate science and agriculture. This role focuses on promoting adoption of GPU-accelerated computing solutions—including machine learning, deep learning, and generative AI—within scientific research communities, working closely with leading science and research institutes in Japan.

Responsibilities

  • Work alongside research teams worldwide adopting NVIDIA's GenAI software for scientific data and models.
  • Debug, profile, and recommend optimizations for model training, scaling and deployment.
  • Provide customer feedback to engineering teams to improve NVIDIA's GenAI software for scientific research and discovery.
  • Participate in hands-on GenAI hackathons and workshops to drive adoption of NVIDIA’s GenAI software stack in the scientific community.

Requirements

  • Excellent verbal, written communication, and technical presentation skills in Japanese. Business-level English is also required.
  • Degree or equivalent experience in Computer Science, Applied Mathematics, or a related engineering field (Master's or Ph.D. 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 generative AI model architectures (e.g., GPT-x, LLaMA, MoE).
  • Ability to work independently and as part of a globally distributed team.

Ways to Stand Out

  • Expertise in deploying large-scale training and inference 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 workflows, AI/GenAI models, and running them on large-scale HPC systems.

Compensation & Benefits

  • Base salary range (determined by location, experience, and internal pay parity):
    • Level 3: 124,000 USD - 195,500 USD
    • Level 4: 144,000 USD - 230,000 USD
  • Eligibility for equity and benefits.

Other Details

  • Applications accepted at least until September 20, 2025.
  • NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.