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30.07.2024
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Nvidia Senior Deep Learning Engineer United States, Texas
Keeping abreast of the latest advancements in generative AI research. Implementing and benchmarking cutting-edge large language and multi-modal models, analyzing their emergent patterns and system performance bottlenecks. Pioneering the development...
Understand, analyze, profile, and optimize deep learning training workloads on state-of-the-art hardware and software platforms. Collaborate with researchers and engineers across NVIDIA, providing guidance on improving the performance of workloads....
Understand, analyze, profile, and optimize large language model training on state-of-the-art hardware and software platforms. Understand the big picture of LLM training performance on GPUs, prioritizing and then solving problems...
Understand, analyze, profile, and optimize large language model training on state-of-the-art hardware and software platforms. Understand the big picture of LLM training performance on GPUs, prioritizing and then solving problems...
Understand, analyze, profile, and optimize deep learning training workloads on state-of-the-art hardware and software platforms. Collaborate with researchers and engineers across NVIDIA, providing guidance on improving the performance of workloads....
Design and build PyTorch components and tools that run efficiently on Super Computers with 1000s of GPUs. Collaborate with NVIDIA’s hardware and software teams to improve the network and GPU...
Develop production-quality software that ships as part of NVIDIA's AI software stack, including cutting edge large language model support. Analyze the performance of important workloads, tuning our current software, and...
Keeping abreast of the latest advancements in generative AI research. Implementing and benchmarking cutting-edge large language and multi-modal models, analyzing their emergent patterns and system performance bottlenecks. Pioneering the development...
As a Senior Deep Learning Engineer at NVIDIA, you will get to use the cutting-edge tools and technologies to build world-changing products and services. As a member of the team, you will have the opportunity to push the boundaries of deep learning and artificial intelligence for the benefit of all humanity.
The Senior Deep Learning Engineer role requires a thorough understanding of deep learning and AI algorithms and technologies, and the ability to quickly develop practical solutions and work with highly parallelized hardware architectures. You will also be supported in architecting and implementing projects that range from visualization systems to assistive robotic systems.
At NVIDIA, Senior Deep Learning Engineers have access to advanced research and development capabilities. You’ll have access to NVIDIA Jetson TX2 and AGX Xavier Module, and you’ll develop important skills while working with computer vision, natural language processing, robotics, and virtual reality.
The ideal candidate for this role will possess strong technical skills, excellent communication skills, and have proven experience in a variety of complex, high-impact projects. This person should also possess a keen interest in coding and developing deep learning systems, be willing to explore new tools, and be eager to work in an agile team environment.
The Senior Deep Learning Engineer role at NVIDIA is an ideal opportunity for those seeking an innovative environment to work in and will have the chance to revolutionize the industry by taking on extremely meaningful technological challenges.