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

Santa Clara, California, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

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
Alternatively, proficiency in all aspects of large multimodal models or diffusion models
A track record of outstanding research achievements and contributions
Excellent communication skills to effectively convey research findings and collaborate with peers

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
Undertake research, design, and implementation of novel methods aimed at enhancing the capability of large and small language models
Contribute to the academic community by publishing original research findings in reputable conferences and journals
Collaborate closely with fellow team members, as well as interdisciplinary teams within the company, to foster a collaborative research environment
Provide mentorship and guidance to interns and students within the research team
Collaborate with product groups within the company to facilitate the transfer of research technology into practical applications

Skills

Key technologies and capabilities for this role

NLPDeep LearningLLMMultimodal ModelsKnowledge DistillationData SynthesisTest-Time InferenceReasoningLong-ContextAgentic CapabilitiesAI SafetyPyTorchResearchPublication

Questions & Answers

Common questions about this position

What is the base salary range for this Research Scientist position?

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

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What skills and qualifications are required for this role?

Candidates need a PhD in CS or equivalent with strong publication records at top-tier conferences, a strong foundation in NLP and deep learning theory and practice, and proficiency in all aspects of large language models (from training to evaluation) or alternatively large multimodal or diffusion models.

What is the company culture like at NVIDIA for this team?

NVIDIA fosters a collaborative research environment with forward-thinking and productive people, emphasizing creativity, autonomy, close collaboration with team members and interdisciplinary teams, mentorship of interns and students, and contributions to publications.

What makes a strong candidate for this Research Scientist role?

A strong candidate has a PhD or equivalent with outstanding research achievements and top-tier publications, proficiency in LLM or multimodal models, and excellent communication skills for collaboration and conveying findings.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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