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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.\nAs 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!\nWhat you’ll be doing:\nDeveloping and deploying reinforcement learning algorithms for LLM post-training to improve reasoning and alignment.\n\nIntegrating RL components into NVIDIA’s LLM training and serving stack with a cross-functional team of engineers and researchers.\n\nCrafting and running experiments, evaluations, and debugging workflows to ensure robustness, scalability, and reliability in production.\n\nWhat we need to see:\nStrong Python programming skills with production-quality PyTorch experience in multi-GPU and distributed training environments.\n\nHands-on experience with modern LLM frameworks such as NeMo RL, Megatron-LM, DeepSpeed, vLLM, TensorRT-LLM, or similar is a big plus.\n\nPractical experience with reinforcement learning applied to LLMs or large-scale sequence models.\n\nFamiliarity with async and distributed orchestration (e.g., asyncio, torch.distributed, Ray, or equivalent).\n\n3+ years of relevant industry or research experience, and BS/MS (or equivalent) in CS, CE, EE, or a related field.\n\nSolid foundations in probability, optimization, statistics, and deep learning.\n\nUnderstanding of GPU architecture and performance optimization is a strong plus.\n\nStrong problem-solving, debugging, and collaboration skills, with a passion for innovation and delivering industry-leading AI solutions.\n\nJoin us at NVIDIA and help build the next generation of reasoning-capable LLMs that make a lasting impact on the world! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/\nNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. 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