NVIDIA Corporation

Principal Research Scientist, Synthetic Data Generation

NVIDIA Corporation • $272K — $431K *
US-Anywhere
+ 5 other locationsRemote
Consumer Technology
11 - 15 years of experience
Today
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Job Overview by Ladders

Qualifications

  • PhD in Computer Science, Machine Learning, Statistics, or related field, or equivalent experience.
  • 15+ years of engineering and research experience in synthetic data generation or generative modeling.
  • Deep technical understanding of LLMs and their data interaction across various stages.
  • Proven track record with software libraries used widely in the developer community.
  • Experience in building and optimizing scalable data pipelines for large model training.

Responsibilities

  • Build and scale LLM-based data generation pipelines for enhanced training datasets.
  • Pioneer synthetic trajectory data generation for agentic training and reinforcement learning.
  • Advance multimodal synthetic data generation in collaboration with NVIDIA's model teams.
  • Implement privacy-preserving data synthesis techniques for sensitive data compliance.
  • Develop and maintain open-source libraries and SDKs with robust documentation.
  • Drive software excellence through modern architectural practices and CI/CD.
  • Publish original research at leading AI and machine learning conferences.

Benefits

  • Opportunity to work at the forefront of AI and machine learning technology.
  • Engagement with cutting-edge research and collaborations with NVIDIA's model teams.
  • Potential to contribute to open-source projects with a global community impact.
  • Access to the latest tools and processes in software engineering practices.
  • Mentorship and leadership opportunities within a high-caliber team environment.
Full Job Description
What you'll be doing:
  • Build and scale data generation pipelines using LLM-based methods combined with automated quality evaluation. resulting in datasets to improve both initial training and fine-tuning of LLMs such as Nemotron. These data pipelines cover reasoning, coding, structured output, and multimodal understanding.
  • Pioneer data generation for agentic and tool-use training: synthetic trajectories, multi-turn interactions, function calling, and executable environments for reinforcement learning, including reward modeling and verifiable-reward data
  • Advance multimodal synthetic data generation — image, document, video, and audio — in partnership with NVIDIA's model teams.
  • Advance privacy-preserving and safe synthesis — differential privacy, anonymization, and de-identification — enabling model training on sensitive data in regulated domains.
  • Develop and maintain open-source libraries and SDKs with clean APIs and strong documentation.
  • Drive software excellence with modern tooling, architecture based on configuration, and professional Git/CI-CD.
  • Publish original research at top machine learning and AI conferences to maintain NVIDIA's technical leadership.
  • Mentor scientists and engineers across the team, raising the technical bar and growing the next generation of researchers.
What we need to see:
  • PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
  • 15+ years of engineering and research experience in synthetic data generation, generative modeling, multimodal machine learning, or related areas.
  • Deep technical understanding of LLMs, how data shapes their pre-training, post-training, and RL stages, and inference frameworks such as vLLM or TGI.
  • Proven track record of developing or maintaining software libraries used by a broad developer community.
  • Experience building and optimizing scalable data pipelines for large-scale model training — throughput, distributed inference, and cost at cluster scale.
  • Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similar.
Ways to stand out from the crowd:
  • Significant open-source contributions in ML or data tooling, with community adoption.
  • Experience with multimodal generation or understanding (vision-language, document AI, video, or audio).
  • Experience generating data for agentic, tool-use, or reinforcement-learning post-training, including RL environment design.
  • Background in differential privacy, de-identification, or synthetic data for regulated industries such as healthcare, finance, or government.
  • Experience influencing model training decisions at frontier scale, or partnering directly with pre-training and post-training teams.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and .

Applications for this job will be accepted at least until September 8, 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
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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