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.
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 pipelines
Experience 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 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.
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.Skills Required
- PhD in Computer Science, Electrical Engineering, or related field
- 2+ years of experience 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.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
