Senior Scientific Machine Learning Software Engineer - Physics

Company: NVIDIA Corporation
Location: Santa Clara
Posted on: October 16, 2024

Job Description:

Senior Scientific Machine Learning Software Engineer - PhysicsNVIDIA'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 problems
• Work with internal project teams to validate applications built using the framework on Nvidia's products
• Stay 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 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 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 plus
  • Strong analytical skills with a 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 skillsWays to stand out from the crowd:
    • Work with multi-node systems with data-parallel and model parallel programming experience. Experience with CUDA
    • Usage 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
      #J-18808-Ljbffr

Keywords: NVIDIA Corporation, Hayward , Senior Scientific Machine Learning Software Engineer - Physics, IT / Software / Systems , Santa Clara, California