Senior Deep Learning Software Engineer, HPC and AI

Company: Nvidia Corporation
Location: Santa Clara, California, United States
Type: Full-time
Posted: 11.AUG.2021
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NVIDIA's deep learning and HPC platforms have made major impact to various fields is broadly used across leading academic institutions, star...


NVIDIA's deep learning and HPC platforms have made major impact to various fields is 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 take on more of these unique opportunities in HPC and deep learning solutions.NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.What you'll be doing:Work with some of the brightest minds in a leading AI company to develop NVIDIA SimNet - a deep learning toolkit for solving real world science and engineering problemsStay up to date with the latest research and innovations in deep learning techniques. Implement and experiment with new ideas to develop framework, network architectures and features to solve forward, inverse and data assimilation problems for simulations in various domainsWhat we need to see:BS or MS degree (PhD preferred) or equivalent experience in computer science, computational science/engineering, or related technical field5+ years of work-related experience in software development with strong programming skillsSolid technical foundation in containers, numerical libraries, modular software designGood knowledge of deep learning methods and algorithmsSolid background with state-of-the-art neural network architectures (CNN, RNN, GAN, autoencoders etc.) and experience in developing or using major deep learning frameworks (e.g. TensorFlow, PyTorch, JAX etc).Experience with PDE (Partial Differential Equations) driven AI algorithmsExperience with parallel programming, CUDA, Python/C/C++Strong analytical skills with bias for actionStrong time-management and organization skills to thrive in a fast paced, dynamic environmentSolid written and oral communications skillsGood teamwork and interpersonal skillsWays to stand out from the crowd:Experience with solving and using machine learning for real world problems involving scientific/engineering simulations (e.g. fluids, thermal, climate science/weather, life sciences, high energy physics, solids, chemistry, biology, electromagnetics, optics, acoustics etc.)Application of machine learning techniques in simulation and/or IoT, dataExperience with scientific visualization is a big plusNVIDIA SimNet has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry. We need passionate, creative people to help us pursue more of these rare opportunities.With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and talented people on the planet working with us and our engineering teams are expanding fast. If you're a creative with a genuine passion for parallel computing, we want to hear from you.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

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