129 applicants

Company

Original Job Post

NVIDIA · 6 days ago

Senior Scientific Machine Learning Software Engineer

United States

Full-time

Remote

Senior Level

$180K/yr - $339K/yr

10+ years exp

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Artificial Intelligence (AI)GPU

H1B Sponsorship

Actively Hiring

Growth Opportunities

Hiring Manager

Bella Yanovsky

Insider Connection @NVIDIA

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Responsibilities

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 focus on simulations

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonContainersNumeric LibrariesModular Software DesignDeep LearningDNN ArchitecturesMachine Learning TechniquesMachine Learning AlgorithmsGraph NetworksDiffusion ModelsReinforcement LearningPyTorchTensorflowJAXScientific/Engineering SimulationsScientific VisualizationProblem-SolvingTime ManagementOrganizationCommunicationTeamworkInterpersonalData-Parallel ProgrammingModel-Parallel ProgrammingCUDANonlinear SimulationSimulation CodesPublished PapersAI in Scientific Computing

Required

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 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

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

Benefits

Equity

Company

NVIDIA

Glassdoor

4.6

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Founded in 1993

Santa Clara, California, USA

10,001+ employees

https://www.nvidia.com

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (735)

2022 (892)

2021 (696)

2020 (534)