NVIDIA · 7 hours ago
Senior Physics-Machine Learning Engineer - CAE
United States
Full-time
Remote
Senior Level
$152K/yr - $242K/yr
5+ years expNVIDIA is a leading AI company known for its deep learning and HPC platforms that impact various fields. They are seeking a Senior Physics-Machine Learning Engineer to develop a Physics-AI framework for digital twins and machine learning simulations, collaborating with internal teams and external users to validate the product in real-world applications.
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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
Qualification
Required
BS or MS degree 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.)
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
Preferred
PhD in computer science, mathematics, computational science/engineering, or related technical field or equivalent experience
Experience with multi-node systems with data-parallel and model parallel programming
Experience with CUDA
Usage of nonlinear simulation tools and techniques
Usage of major simulation codes (opensource and/or commercial)
Development and applications of the new architectures and algorithms on industry scale problems
Published papers in the field of AI in scientific computing
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
Straits Times
2026-02-05
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