Senior Applications Engineer, GenAI for Science job opportunity at NVIDIA.

Home Jobs In United States Of America Tag: GenAI for Science Senior Applications Engineer, GenAI for Science position at NVIDIA


DateMore Than 30 Days Ago bot
NVIDIA Senior Applications Engineer, GenAI for Science
Experience: 5-years
Pattern: full-time
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GenAI for Science

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loacation US, CA, Santa Clara, United States Of America
loacation US, CA, Santa ..........United States Of America

Generative AI is revolutionizing ranging from supercomputing, higher education, manufacturing, semiconductors, energy storage, climate science and agriculture. The advent of GenAI models and tools such as ClimaX, GenSLM, MatterGen, etc are some exemplars of adapting GenAI for scientific research and discoveries. We are now looking for a senior Application engineer to work with leading science and research institutes in Japan, promoting the adoption GPU-accelerated computing solutions—including machine learning, deep learning, and especially generative AI for scientific discovery and research. Do you enjoy working with top researchers who are coming up with innovative model architectures and workflows for GenAI for Science ? Do you find it exciting to help collaborators solve problems in training, scaling and deploying GenAI models at scale? If converting a small proof of concept into an inspiring solution for the larger community is exciting, then we encourage you to apply! What you'll be doing: Work alongside research teams worldwide adopting NV's GenAI SW for scientific data/models Debug, profile and recommend optimizations Provide customer feedback back into engineering teams on improving of NV's GenAI SW for science research and discovery. Participate in Gen AI hands-on hackathons/workshops that drive adoption of NV’s GenAI SW stack in the scientific community What we need to see: Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement. 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. Ways to stand out from the crowd: Expertise in deploying large-scale training and inferencing pipeline Hands-on experience with 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, AI models/GenAI models and running them on large scale HPC systems With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD for Level 3, and 148,000 USD - 235,750 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, 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.

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