Senior Applications Engineer GenAI for Science
@ NVIDIA

Hybrid
$195,500
Hybrid
Full Time
Posted 6 hours ago

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Job Details

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.

📝 Interview Preparation Advice

Technical Preparation

Review GPU-acceleration techniques.
Practice debugging ML and GenAI models.
Brush up on C++ and Python coding.
Study GenAI model architectures and optimizations.

Behavioral Questions

Describe a challenging global project.
Explain independent work in a distributed team.
Share communication experiences in bilingual settings.
Discuss adapting feedback into technical improvements.

Frequently Asked Questions