NVIDIA Corporation

Senior Physics-Machine Learning Engineer - CAE

NVIDIA Corporation$152K — $287K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS degree in computer science, mathematics, computational science/engineering or related field; PhD preferred
  • 5+ years of relevant experience
  • Strong Python programming skills; familiarity with containers and numeric libraries
  • Good knowledge of DNN architectures and machine learning techniques; experience with frameworks like PyTorch, TensorFlow, JAX
  • Experience applying machine learning to solve scientific/engineering problems
  • Experience with scientific visualization is a plus
  • Strong analytical skills and effective time management

Responsibilities

  • Collaborate with experts to develop NVIDIA PhysicsNemo for digital twins and simulations
  • Validate products with industrial applications in partnership with internal teams and external users
  • Stay updated on deep learning research and implement new ideas to enhance technologies focused on simulations
  • Experiment with state-of-the-art techniques for real-world scientific and engineering challenges

Benefits

  • Eligibility for equity
  • Comprehensive benefits package
  • Access to a diverse and inclusive work environment
  • Opportunity to work with cutting-edge technologies and leading experts in the field
  • Work in a company recognized as a desirable employer
Full Job Description
What you'll be doing:
  • 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


What we need to see:
  • 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


Ways 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). Development and applications of the new architectures and algorithms on industry scale problems
  • Published papers in the field of AI in scientific computing


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

#deeplearning

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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