Senior Applications Engineer, GenAI for Science

September 17

🗣️🇯🇵 Japanese Required

Apply Now
Logo of NVIDIA

NVIDIA

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 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.

🎯 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

Apply Now

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