Senior Physics-Machine Learning Engineer - CAE

CAE_JR2012866 SCRAPED AT: 2025-01-27T18:30:00Z

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Position Overview

NVIDIA is seeking a Senior Physics-Machine Learning Engineer to help build an AI framework that will solve the toughest and most relevant problems of humanity at the cutting edge of science & engineering, including weather/climate challenges, product design, digital twins, molecular dynamics, novel materials, and accelerated drug development.

Responsibilities

• Collaborate with some of the brightest minds in a leading AI company to develop a leading Physics-AI framework, NVIDIA PhysicsNemo, for our academic and industrial partners to construct digital twins and machine learning simulation surrogates for real world science and engineering problems
• Work with internal teams at Nvidia and external users to validate the product with industrial applications
• Stay up to date with the latest research and innovations in deep learning techniques, implement and experiment with new ideas to develop and enhance NVIDIA's deep learning technologies with focus on simulations

Requirements & Skills

• BS or MS degree (PhD preferred) in computer science, mathematics, computational science/engineering, or related technical field or equivalent experience
• 5+ yrs of relevant experience
• Strong Python programming skills. Familiarity with containers, numeric libraries, modular software design
• Good 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 in solving and using machine learning for real world problems involving scientific/engineering simulations (multi-physics applications in CFD, structural, thermal, electrical, electromagnetics,