Solutions Architect

Yesterday

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Logo of NVIDIA

NVIDIA

GPU-accelerated computing β€’ artificial intelligence β€’ deep learning β€’ virtual reality β€’ gaming

10,000+

Description

β€’ Work across different teams and assist customers building solutions with AI technology. β€’ Become a trusted technical advisor, deploying AI solutions in production with Generative AI and LLMs. β€’ Collaborate with internal teams on innovative AI optimization techniques. β€’ Design and implement scalable systems for agentic workflows. β€’ Some travel to conferences and customers may be required.

Requirements

β€’ BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) β€’ 5+ years of hands-on experience in DL and DL systems design β€’ Strong fundamentals in programming, optimizations and software design, especially in Python β€’ Strong problem-solving and debugging skills β€’ Excellent knowledge of theory and practice of DL and Generative Models β€’ Excellent presentation, communication and collaboration skills β€’ Desire to be involved in multiple diverse and creative projects β€’ Prior experience with agentic LLM frameworks such as Langchain and LLamaIndex β€’ Experience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework , NVIDIA Triton Inference Server , TensorRT , TensorRT-LLM β€’ Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design β€’ Familiarity with computer architecture and AI algorithms development

Benefits

β€’ Equity β€’ Benefits

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