NVIDIA
AI
LLMReinforcementLearningFrameworkEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“LLM Reinforcement Learning Framework Engineer at NVIDIA. Skills: LLM, Reinforcement Learning, Framework Engineering. Developing and deploying reinforcement learning algorithms for LLM post‑training to improve reasoning and alignment. Integrating RL components into NVIDIA’s LLM training and serving stack”
What You'll Achieve.
improve reasoning and alignment; ensure robustness, scalability, and reliability in production; build the next generation of reasoning‑capable LLMs
Industry & Context.
problem-solving skills
What They're Looking For.
Must Have
Python programming skills, production-quality PyTorch experience in multi-GPU and distributed training environments, Practical experience with reinforcement learning applied to LLMs or large-scale sequence models, Familiarity with async and distributed orchestration (e. g. , asyncio, torch. distributed, Ray, or equivalent), 3+ years of relevant industry or research experience, BS/MS (or equivalent) in CS, CE, EE, or a related field, Solid foundations in probability, optimization, statistics, and deep learning, problem-solving skills, debugging skills, collaboration skills, passion for innovation, delivering industry-leading AI solutions
Nice to Have
Hands-on experience with modern LLM frameworks such as NeMo RL, Megatron-LM, DeepSpeed, vLLM, TensorRT-LLM, or similar, Understanding of GPU architecture and performance optimization
What You'll Do.
Developing and deploying reinforcement learning algorithms for LLM post‑training to improve reasoning and alignment
Integrating RL components into NVIDIA’s LLM training and serving stack
Crafting and running experiments
and debugging workflows to ensure robustness
and reliability in production
How You'll Work.
Team & Collaboration
cross‑functional team of engineers and researchers
Full Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. As a key player in the AI revolution, NVIDIA is pushing the boundaries of what's possible in accelerated computing. We are seeking an exceptionally dedicated LLM Reinforcement Learning Framework Engineer to join our ambitious team. This role is vital in advancing our large language model (LLM) capabilities, particularly in improving reasoning abilities for math, coding, and agentic AI. Join us and contribute to groundbreaking innovations that will craft the future of computing! **What you’ll be doing:** * Developing and deploying reinforcement learning algorithms for LLM post‑training to improve reasoning and alignment. * Integrating RL components into NVIDIA’s LLM training and serving stack with a cross‑functional team of engineers and researchers. * Crafting and running experiments, evaluations, and debugging workflows to ensure robustness, scalability, and reliability in production. **What we need to see:** * Strong Python programming skills with production‑quality PyTorch experience in multi‑GPU and distributed training environments. * Hands‑on experience with modern LLM frameworks such as NeMo RL, Megatron‑LM, DeepSpeed, vLLM, TensorRT‑LLM, or similar is a big plus. * Practical experience with reinforcement learning applied to LLMs or large‑scale sequence models. * Familiarity w
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