What are the responsibilities and job description for the Senior Research Scientist, Post-Training LLM and DLM position at NVIDIA AI?
Job Requisition ID
JR2003854
Job Category
Research
Time Type
Full time
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
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.
JR2003854
Job Category
Research
Time Type
Full time
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 systems
- Collaborating 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.
- 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.
- Expertise in post-training LLMs with novel algorithmic/data pipelines
- Experience developing andscaling large distributed systems for deep learning.
- Contributions to open-source LLM systems or large-scale AI infrastructure.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.