Used Tools & Technologies
NLPRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 3
Algorithms @ 3
OSS @ 3
PyTorch @ 3
GPU @ 3
Deep Learning @ 6
AI @ 3
JAX @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Today, NVIDIA is 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, encouraging environment where everyone is inspired to do their best work.
We are recruiting Applied Research Interns to join the Nemotron post-training team to work on the next generation of Nemotron post-training and open-source software such as NeMo-RL.
Responsibilities
- Develop and prototype new algorithms and models for AI model post-training.
- Contribute to open-source projects such as NeMo-RL and to the next version of Nemotron models.
- Publish your internship project results.
Requirements
- Pursuing an MS or PhD degree in Computer Science or Electrical Engineering (Master’s students with a good publication record will be considered).
- Excellent Python programming skills.
- Strong knowledge in Deep Learning for Natural Language Processing.
- Experience with PyTorch or JAX.
- Ability to work independently.
- Attention to detail and ability to manage large sets of experiments.
Ways to stand out
- Contributions to open-source projects (include links to OSS contributions).
Compensation & Logistics
- Internship hourly rate: 20 USD - 71 USD (rate depends on position, location, year in school, degree, and experience).
- Applications accepted at least until July 5, 2026.
- Start date listed: 2026-07-01.
Additional information
- You will be eligible for intern benefits (link provided in original posting).
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and committed to fostering an inclusive work environment.