NVIDIA Corporation
Senior Scientific Machine Learning Software Engineer - Physics
NVIDIA Corporation, Santa Clara, California, us, 95053
Senior Scientific Machine Learning Software Engineer - Physics
NVIDIA’s deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate and creative people to help us on building a AI framework that will solve the toughest and most relevant problems of humanity and problems that are at the groundbreaking of science & engineering: weather/climate challenges, product design, digital twins, molecular dynamics, novel materials, accelerated drug development, etc.What you'll be doing:Work with some of the brightest minds in a leading AI company to develop a leading machine learning framework, NVIDIA Modulus, for our academic and industrial partners to construct digital twins and machine learning simulation surrogates for real-world science and engineering problemsWork with internal project teams to validate applications built using the framework on Nvidia’s productsStay up to date with the latest research and innovations in deep learning techniques, implement and experiment with new insights to develop and enhance NVIDIA's deep learning technologies with a focus on simulationsWhat we need to see:BS or MS degree (PhD preferred) in computer science, mathematics, computational science/engineering, or related technical field or equivalent experience.10+ years of relevant experience.Strong Python programming skills. Familiarity with containers, numeric libraries, modular software designGood knowledge of state-of-the-art DNN architectures and machine learning techniques and algorithms (graph networks, diffusion models, reinforcement learning etc.) with experience in developing or using major deep learning frameworks (PyTorch, Tensorflow, JAX etc.)Experience with solving and using machine learning for real-world problems involving scientific/engineering simulations (domains/applications - industrial, life sciences, high energy physics, earth sciences – seismic, weather & climate modeling; physics types - CFD, structural, electromagnetics, optics, acoustics etc.) and/or scientific visualization is a big plusStrong analytical skills with a bias for action. Good time-management and organization skills to thrive in a fast-paced, dynamic environmentSolid written and oral communications skills. Good teamwork and interpersonal skillsWays to stand out from the crowd:Work with multi-node systems with data-parallel and model parallel programming experience. Experience with CUDAUsage of nonlinear simulation tools and techniques, usage of major simulation codes (opensource and/or commercial)Published papers in the field of AI in scientific computing
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NVIDIA’s deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate and creative people to help us on building a AI framework that will solve the toughest and most relevant problems of humanity and problems that are at the groundbreaking of science & engineering: weather/climate challenges, product design, digital twins, molecular dynamics, novel materials, accelerated drug development, etc.What you'll be doing:Work with some of the brightest minds in a leading AI company to develop a leading machine learning framework, NVIDIA Modulus, for our academic and industrial partners to construct digital twins and machine learning simulation surrogates for real-world science and engineering problemsWork with internal project teams to validate applications built using the framework on Nvidia’s productsStay up to date with the latest research and innovations in deep learning techniques, implement and experiment with new insights to develop and enhance NVIDIA's deep learning technologies with a focus on simulationsWhat we need to see:BS or MS degree (PhD preferred) in computer science, mathematics, computational science/engineering, or related technical field or equivalent experience.10+ years of relevant experience.Strong Python programming skills. Familiarity with containers, numeric libraries, modular software designGood knowledge of state-of-the-art DNN architectures and machine learning techniques and algorithms (graph networks, diffusion models, reinforcement learning etc.) with experience in developing or using major deep learning frameworks (PyTorch, Tensorflow, JAX etc.)Experience with solving and using machine learning for real-world problems involving scientific/engineering simulations (domains/applications - industrial, life sciences, high energy physics, earth sciences – seismic, weather & climate modeling; physics types - CFD, structural, electromagnetics, optics, acoustics etc.) and/or scientific visualization is a big plusStrong analytical skills with a bias for action. Good time-management and organization skills to thrive in a fast-paced, dynamic environmentSolid written and oral communications skills. Good teamwork and interpersonal skillsWays to stand out from the crowd:Work with multi-node systems with data-parallel and model parallel programming experience. Experience with CUDAUsage of nonlinear simulation tools and techniques, usage of major simulation codes (opensource and/or commercial)Published papers in the field of AI in scientific computing
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