Resume and JobRESUME AND JOB
NVIDIA logo

Senior Research Scientist, Post-Training LLM and DLM

NVIDIA

Senior Research Scientist, Post-Training LLM and DLM

NVIDIA logo

NVIDIA

full-time

Posted: November 4, 2025

Start Date: November 4, 2025

Number of Vacancies: 1

Job Description

We are now looking for a Senior Research Scientist passionate about Large Language Model (LLM) and Diffusion Language Model (DLM) post-training and system optimization. Are you excited to shape the future of large-scale generative AI? NVIDIA is at the forefront of foundation models and generative AI systems, enabling cutting-edge research and real-world deployment at unprecedented scale. Our team is dedicated to advancing post-training algorithms, building efficient large-scale systems, and developing evaluation frameworks to ensure reliability and scalability. Join us to work with world-class researchers and engineers on building the next generation of AI.What you will be doing:Designing and implementing post-training algorithms LLMs and DLMs.Driving efficiency and scalability improvements across training pipelines and serving systemsCollaborating with researchers to translate cutting-edge ideas into production-ready implementations.Exploring new paradigms for evaluation.Demonstrating strong engineering practices, and contributing to open-source communities.What we need to see:PhD in Computer Science, Electrical Engineering, or related field, or equivalent research experience in LLMs, systems, or related areas.2+ years of experiences in machine learning, systems, distributed computing, or large-scale model training.Proficiency in Python with hands-on experience in frameworks such as PyTorch.Solid background in computer science fundamentals: algorithms, data structures, parallel/distributed computing, and systems programming.Proven ability to collaborate across research and engineering teams in multifaceted environments.Ways to stand out from the crowd:Expertise in post-training LLMs with novel algorithmic/data pipelinesExperience developing andscaling large distributed systems for deep learning.Contributions to open-source LLM systems or large-scale AI infrastructure.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, 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 for Level 3, and 184,000 USD - 299,000 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 8, 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.

Locations

  • Santa Clara, CA, US

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

25,000,000 - 45,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Large Language Model (LLM)intermediate
  • Diffusion Language Model (DLM)intermediate
  • post-training algorithmsintermediate
  • system optimizationintermediate
  • generative AIintermediate
  • foundation modelsintermediate
  • PyTorchintermediate
  • Pythonintermediate
  • machine learningintermediate
  • distributed computingintermediate
  • large-scale model trainingintermediate
  • algorithmsintermediate
  • data structuresintermediate
  • parallel computingintermediate
  • systems programmingintermediate
  • deep learningintermediate
  • evaluation frameworksintermediate
  • training pipelinesintermediate
  • serving systemsintermediate
  • open-source contributionsintermediate

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NVIDIA logo

Senior Research Scientist, Post-Training LLM and DLM

NVIDIA

Senior Research Scientist, Post-Training LLM and DLM

NVIDIA logo

NVIDIA

full-time

Posted: November 4, 2025

Start Date: November 4, 2025

Number of Vacancies: 1

Job Description

We are now looking for a Senior Research Scientist passionate about Large Language Model (LLM) and Diffusion Language Model (DLM) post-training and system optimization. Are you excited to shape the future of large-scale generative AI? NVIDIA is at the forefront of foundation models and generative AI systems, enabling cutting-edge research and real-world deployment at unprecedented scale. Our team is dedicated to advancing post-training algorithms, building efficient large-scale systems, and developing evaluation frameworks to ensure reliability and scalability. Join us to work with world-class researchers and engineers on building the next generation of AI.What you will be doing:Designing and implementing post-training algorithms LLMs and DLMs.Driving efficiency and scalability improvements across training pipelines and serving systemsCollaborating with researchers to translate cutting-edge ideas into production-ready implementations.Exploring new paradigms for evaluation.Demonstrating strong engineering practices, and contributing to open-source communities.What we need to see:PhD in Computer Science, Electrical Engineering, or related field, or equivalent research experience in LLMs, systems, or related areas.2+ years of experiences in machine learning, systems, distributed computing, or large-scale model training.Proficiency in Python with hands-on experience in frameworks such as PyTorch.Solid background in computer science fundamentals: algorithms, data structures, parallel/distributed computing, and systems programming.Proven ability to collaborate across research and engineering teams in multifaceted environments.Ways to stand out from the crowd:Expertise in post-training LLMs with novel algorithmic/data pipelinesExperience developing andscaling large distributed systems for deep learning.Contributions to open-source LLM systems or large-scale AI infrastructure.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, 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 for Level 3, and 184,000 USD - 299,000 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 8, 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.

Locations

  • Santa Clara, CA, US

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

25,000,000 - 45,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Large Language Model (LLM)intermediate
  • Diffusion Language Model (DLM)intermediate
  • post-training algorithmsintermediate
  • system optimizationintermediate
  • generative AIintermediate
  • foundation modelsintermediate
  • PyTorchintermediate
  • Pythonintermediate
  • machine learningintermediate
  • distributed computingintermediate
  • large-scale model trainingintermediate
  • algorithmsintermediate
  • data structuresintermediate
  • parallel computingintermediate
  • systems programmingintermediate
  • deep learningintermediate
  • evaluation frameworksintermediate
  • training pipelinesintermediate
  • serving systemsintermediate
  • open-source contributionsintermediate

Target Your Resume for "Senior Research Scientist, Post-Training LLM and DLM" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Senior Research Scientist, Post-Training LLM and DLM. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Research Scientist, Post-Training LLM and DLM" , NVIDIA

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

United States of America

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