Location
In office (Shanghai)
Seniority
Intern
Employment
Internship
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 3, 2026. NVIDIA scores B on the Alion truth index.
Overview
Company
Impact
Profile match
NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.
Backed by Insight Partners, Sequoia Capital, Greylock
We are now looking for exceptionally dedicated individuals to join our team as LLM Reinforcement Learning Framework Intern!
At NVIDIA, we are renowned for our continual progress in the fields of graphics and parallel computing. By joining our Architecture group, you will be part of a dynamic team that is spearheading the AI revolution. This remarkable opportunity will allow you to work on innovative projects that extend the frontiers of GPU technology and AI.
What you'll be doing:
- Help NVIDIA Nemo RL to be efficiently working under large scale post train workload.
- Adopt SOTA RL algorithms to Nemo RL.
- Improve RL rollout performance.
What we need to see:
- Having experience with VeRL, Miles, Slime, or Nemo RL is highly beneficial.
- Strong proficiency in programming languages such as Python, C++, or CUDA.
- Ambitious approach with a proven track record of taking initiative and delivering results.
- Experience with PyTorch, RLHF (Reinforcement Learning with Human Feedback), and LLM training frameworks like FSDP/Megatron LLM is a plus.
- Familiarity with agentic RL and inference engine development is preferred.
- Pursuing A degree in Computer Science, Engineering, or a related field
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