Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 6 Machine Learning @ 4 Hiring @ 4 Communication @ 4 Mathematics @ 4 PyTorch @ 6 GPU @ 4Details
Generative AI is being adapted for scientific research and discovery across domains such as supercomputing, higher education, manufacturing, semiconductors, energy storage, climate science and agriculture. This role focuses on promoting and supporting the adoption of GPU-accelerated computing solutions—including machine learning, deep learning, and generative AI—by working with leading science and research institutes (with emphasis on engagements in Japan).
Responsibilities
- Work alongside research teams worldwide adopting NV's GenAI software for scientific data and models.
- Debug, profile, and recommend optimizations for GPU-accelerated ML/GenAI workloads.
- Provide customer feedback to engineering teams to improve NV's GenAI software for science research and discovery.
- Participate in hands-on GenAI hackathons and workshops to drive adoption of NV’s GenAI software stack in the scientific community.
- Help convert proofs of concept into scalable solutions for broader scientific use.
Requirements
- Excellent verbal, written communication, and technical presentation skills in Japanese. Business-level English communication is also required.
- Degree or equivalent experience in Computer Science, Applied Mathematics, or a 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 generative AI model architectures (GPT-x, Llama, MoE, etc.).
- 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 with complex workflows integrating simulation and AI/GenAI models and running them on large-scale HPC systems.
Compensation & Benefits
Your base salary will be determined based on your location, experience, and pay of employees in similar positions. The base salary ranges provided are:
- Level 3: 124,000 USD - 195,500 USD
- Level 4: 144,000 USD - 230,000 USD
You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 20, 2025.
Employer Statement
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.