NVIDIA Corporation

Relational Foundation Model Engineer, Modern Data Stack

NVIDIA Corporation$184K — $356K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • MS or PhD in Machine Learning, Computer Science, or equivalent experience
  • Proficiency in Python and deep learning frameworks, such as PyTorch
  • At least 8 years of research experience in designing ML algorithm solutions
  • Practical experience in using Predictive Models in Real World Applications

Responsibilities

  • Collaborate with researchers/engineers to enhance Transformer and GNN-based models for relational architecture.
  • Gain hands-on experience with forecasting, entity matching, customer retention, and fraud detection.
  • Leverage knowledge in ML and AI to create scalable solutions.
  • Engage in the full lifecycle of modern ML systems from design to optimization and inference.
  • Contribute to the next generation of the Relational Foundation Model.

Benefits

  • Eligible for equity
  • Comprehensive benefits package
Full Job Description
You will partner with world-class researchers and engineers across the full machine learning lifecycle, from architecture exploration and large-scale training to post-training optimization and high-performance inference. This is an opportunity to turn foundational research into production systems that influence how organizations derive intelligence from complex, connected data. NVIDIA foundation models are optimized for NVIDIA-accelerated infrastructure, providing a strong platform for translating advanced AI research into deployable systems. If you are energized by graph learning, relational reasoning, and building AI that moves beyond single-table benchmarks, we would love to hear from you

What you'll be doing:
  • Collaborate with researchers/engineers to enhance our Transformer and GNN-based models to operate seamlessly over any relational schema and heterogeneous graph.
  • Gain hands-on experience with high-impact use cases such as forecasting, entity matching, customer retention and fraud detection - all built on top of a single, extensible foundation model.
  • Leverage your knowledge in ML and AI to tackle real challenges while contributing to scalable and adaptable solutions that push the boundaries of what's possible.
  • Work may span the full lifecycle of modern ML systems: from architecture design/training to post-training optimization and inference acceleration.
  • You will contribute to our next generation of the Relational Foundation Model.


What we need to see:
  • MS or PhD in Machine Learning, Computer Science, or equivalent experience
  • Proficiency in Python and deep learning frameworks, such as PyTorch
  • At least 8 years of research experience in designing ML algorithm solutions
  • Practical experience in using Predictive Models in Real World Applications


Ways to stand out from the crowd:
  • Familiarity with graph-based machine learning; publications at venues such as NeurIPS, ICLR, ICML, or similar


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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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