[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All NVIDIA jobs](https://jobs.opennash.com/companies/nvidia/) · [Search jobs](/search/) NVIDIA · China, Shanghai # LLM Reinforcement Learning Framework Engineer China, Shanghai Education & Training Listed on NVIDIA’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there. [Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/LLM-Reinforcement-Learning-Framework-Engineer_JR2016313-1) [OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / LLM Reinforcement Learning Framework Engineer ## 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 with async and distributed orchestration (e.g., asyncio, torch.distributed, Ray, or equivalent). 3+ years of relevant industry or research experience, and BS/MS (or equivalent) in CS, CE, EE, or a related field. Solid foundations in probability, optimization, statistics, and deep learning. Understanding of GPU architecture and performance optimization is a strong plus. Strong problem‑solving, debugging, and collaboration skills, with a passion for innovation and delivering industry‑leading AI solutions. Join 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/ 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. ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Jul 10, 2026 - Last checked: Oct 20, 2026 - Listed for: 102 days - Location: China, Shanghai[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/LLM-Reinforcement-Learning-Framework-Engineer_JR2016313-1) ## More jobs at NVIDIA ### [Deep Learning Performance Architect](https://jobs.opennash.com/companies/nvidia/jobs/0ea9fd0d8648d9d71e76/) China, Shanghai ### [Deep Learning Performance Intern - 2027](https://jobs.opennash.com/companies/nvidia/jobs/9b2cec008f7392360383/) China, Shanghai ### [Humanoid Robot Learning Intern, Isaac Loco-Manipulation - 2027](https://jobs.opennash.com/companies/nvidia/jobs/194b85b16f31a5b01ed3/) China, Shanghai ## Similar jobs at other companies ### [Researcher(LLM Applications)](https://jobs.opennash.com/companies/air-liquide/jobs/5e784cce313e1bc0447a/) Air Liquide · China, Shanghai ### [AI Engineer 4 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)](https://jobs.opennash.com/companies/capital-one-financial/jobs/eed593d429480ba1130f/) Capital One Financial ### [AI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)](https://jobs.opennash.com/companies/capital-one-financial/jobs/ca14ffba2801d7de9a5f/) Capital One Financial ### [Machine Learning Framework, Complier & Performance Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/b1ba015fa399e1532e47/) Qualcomm · Markham, Ontario, Canada ### [Principal Machine Learning Engineer (Reinforcement Learning)](https://jobs.opennash.com/companies/amgen/jobs/e0677680ec0849263d1f/) Amgen · India - Hyderabad OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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