Senior Physics-Machine Learning Engineer - CAE

Position Overview

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 cutting edge of science & engineering: weather/climate challenges, product design, digital twins, molecular dynamics, novel materials, accelerated drug development, etc.

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, optics, acoustics etc. for various industries such as automotive, aerospace, machinery, medical, energy, computers, semiconductors, consumer goods etc.)
• Experience with scientific visualization is a big plus
• Strong analytical skills with bias for action
• Good time management and organization skills to thrive in a fast paced, dynamic environment
• Solid written and oral communications skills. Good teamwork and interpersonal skills