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
Solution Architect – Generative AI Data, Post-Training
Job not on LinkedIn
November 18
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
• Serve as the primary technical expert to NVIDIA's customers, understanding their technology and providing guidance on post training process in terms of tools and methodology. • Build proof-of-concepts and demonstrations that highlight the power of NVIDIA AI platforms applied to LLMs post training. • Partner with developers, researchers, technology specialists, IT professionals, and executives to facilitate the integration of NVIDIA technology. • Enable development and growth of product features through customer feedback and proof-of-concept evaluations.
🎯 Requirements
• MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields. • Deep expertise in AI/Deep Learning, with hands-on experience in training and finetuning LLMs. • Expertise with deep learning frameworks for training LLMs (PyTorch, Megatron-LM, Nemo, Transformers, TRL, VeRL) • 6+ years' work or research experience with Python/ C++ / other software development • Excellent verbal, written communication, and technical presentation skills in English.
🏖️ Benefits
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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