NVIDIA Logo

NVIDIA

Research Scientist, Fundamental LLM Research for Knowledge, Reasoning, and Agents - New College Grad 2026

Reposted 7 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Santa Clara, CA
160K-259K Annually
Internship
In-Office or Remote
Hiring Remotely in Santa Clara, CA
160K-259K Annually
Internship
As a Research Scientist, you will research and propose novel model architectures, collaborate with teams, publish findings, and mentor interns.
The summary above was generated by AI

NVIDIA is seeking a Research Scientist in the fields of NLP and deep learning research to contribute to our LLM Research team. We are committed to groundbreaking research that not only pushes the boundaries of knowledge but also makes a significant impact in practical applications. We are particularly interested in exploring methods for alternative language model or multimodal architectures, alternative knowledge distillation and data synthesis methods, alternative scaling laws, information-theoretic approaches, test-time inference algorithms, enhancing factuality, reasoning, long-context, or agentic capabilities of language or multimodal models, and AI safety.

What you’ll be doing:

As a Research Scientist, your role will encompass the following responsibilities:

  • Research and propose alternative model architectures that enhance the performance and efficiency of language or multimodal models.

  • Investigate novel methods for knowledge distillation and data synthesis for language or multimodal models

  • Explore novel methods for test-time inference algorithms

  • Analyze multiple novel methods for enhancing factuality, reasoning, long-context, or agentic capabilities of language or multimodal models.

  • Research: Undertake research, design, and implementation of novel methods aimed at enhancing the capability of large and small language models.

  • Publication: Contribute to the academic community by publishing original research findings in reputable conferences and journals.

  • Collaboration: Collaborate closely with fellow team members, as well as interdisciplinary teams within the company, to foster a collaborative research environment.

  • Mentorship: Provide mentorship and guidance to interns and students within the research team.

  • Technology Transfer: Collaborate with product groups within the university to facilitate the transfer of research technology into practical applications.

What we need to see:

  • Completing or recently completed a PhD in CS or equivalent research experiences in research labs with strong publication records at top-tier conferences.

  • A strong foundation in the theory and practice of NLP and deep learning.

  • Proficiency in all aspects of large language models from training to alignment to inference to evaluation is expected.

  • Alternatively, proficiency in all aspects of large multimodal models or diffusion models is expected.

  • A track record of outstanding research achievements and contributions.

  • Excellent communication skills to effectively convey research findings and collaborate with peers.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 258,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Ai Safety
Data Synthesis
Deep Learning
Inference Algorithms
Knowledge Distillation
Large Language Models
Multimodal Models
Nlp

Similar Jobs

4 Hours Ago
In-Office or Remote
8 Locations
185K-327K Annually
Senior level
185K-327K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As a Senior Software Engineer on the Data Integrations and Transformations Platform, you'll design and maintain backend services, mentor engineers, and enhance data access for business-critical applications.
Top Skills: DatabricksJavaKafkaKotlinPythonSnowflakeSpark
4 Hours Ago
In-Office or Remote
8 Locations
218K-327K Annually
Senior level
218K-327K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Coordinate and manage hardware assembly programs, from prototype to mass production, ensuring timelines, quality, and cost targets are met across various teams.
Top Skills: Agile)ConfluenceJIRALinearPlm Systems (Arena
4 Hours Ago
In-Office or Remote
8 Locations
3K-6K Hourly
Mid level
3K-6K Hourly
Mid level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Technical Account Specialist will manage support needs for high-value sellers, working with internal teams and providing customized support. Responsibilities include issue resolution, trend analysis, and collaboration with engineering and product teams.
Top Skills: SQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account