NVIDIA
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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.
Senior Applications Engineer, GenAI for Science
Application EngineerApplication EngineerFull TimeRemoteTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn
Location
California
Posted
176 days ago
Salary
$124K - $230K / year
Bachelor Degree5 yrs expExperience acceptedJapaneseEnglishPythonPy Torch
Job Description
• 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.
Job 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.
Benefits
- Competitive salaries
- Generous benefits package
- Eligible for equity
