NVIDIA is a world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, NVIDIA has been at the forefront of research and engineering around the greatest advances in technology. Our history of
Generative AI is revolutionizing. Ranging from supercomputing, higher education, manufacturing, semiconductors, energy storage, climate science and agriculture. The advent of AI models and tools such as ClimaX, GenSLM, MatterGen, etc are some exemplars of adapting AI
As the VP of Robotic Foundation Model, you will lead the strategy, organization, and technical execution of our robotics foundation model team. This role is responsible for building and managing the team that turns that advancing
Minimum qualifications: Bachelors degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 2 years of experience in Python and a related machine learning package (e.g., Keras, PyTorch, HF Transformers). Experience in applied AI, with building
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNovas technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture
Location: Tokyo, Japan / Singapore About the Role Are you ready to shape the future of tech hiring at Rubrik? We are seeking a passionate Senior Talent Partner to drive the growth and expansion of our
This role requires the candidate to work on-site in Tokyo, Japan. Client Overview Our client is a global technology solutions provider specializing in Artificial Intelligence (AI), Cloud Computing, Data Engineering, and Digital Transformation (DX). The company
We are currently partnering with a fast-growing AI & Data consulting company in Japan that is actively expanding its Generative AI and Large Language Model (LLM) division and is now looking for both LLM Scientists and
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Appealing Points Act as a key architect of a future-ready SOC, contributing to its capability roadmap as it evolves from reactive monitoring into a proactive, intelligence-led and automated defense organization. Use LLMs and AI-powered security platforms