Senior Applications Engineer GenAI for Science @ NVIDIA
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About the Role
NVIDIA is seeking a Senior Applications Engineer GenAI for Science to work with leading research institutes in Japan. You will help promote GPU-accelerated computing solutions including machine learning, deep learning, and generative AI for scientific research. This role involves working with top researchers developing innovative model architectures and workflows, converting proofs-of-concept into solutions that inspire the larger community.
What You'll Be Doing
- Collaborate with global research teams to adopt NVIDIA’s GenAI software.
- Debug, profile and recommend optimizations for GenAI models.
- Provide customer feedback to engineering teams on software improvements.
- Participate in GenAI hackathons and workshops in the scientific community.
What We Need To See
- Excellent communication skills in Japanese and business level English.
- A degree in Computer Science, Applied Mathematics, or related field (Ph.D. or Masters preferred).
- 5+ years hands-on experience with AI/ML models, LLMs using frameworks like PyTorch, and languages such as C++ and 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 large-scale training and inferencing pipelines.
- Experience in customizing AI models for multi-modal scientific data.
- Contributions to research papers or open-source projects in GenAI.
- Familiarity with integrating simulation and AI models on large scale HPC systems.
Benefits & Compensation
Competitive salaries with eligibility for equity and a generous benefits package. Salary range for Level 3 is 124,000 USD - 195,500 USD and for Level 4 is 144,000 USD - 230,000 USD, based on location and experience.
Equal Opportunity & Diversity
NVIDIA is an equal opportunity employer committed to fostering a diverse work environment without discrimination based on any protected characteristics.
Key skills/competency
- GenAI
- Scientific Research
- GPU-accelerated Computing
- Machine Learning
- Deep Learning
- LLMs
- C++
- Python
- HPC
- Communication (Japanese/English)
How to Get Hired at NVIDIA
🎯 Tips for Getting Hired
- Tailor your resume: Highlight GenAI, ML and technical expertise.
- Research NVIDIA: Understand their innovation in GPU computing and science.
- Prepare for interviews: Focus on technical problem-solving and communication skills.
- Emphasize experience: Showcase work on large-scale AI and HPC projects.