Your Role
Key responsibilities as follows:
- Research, design, and implement novel large language and foundation models.
- Perform model optimization, compression, and acceleration.
- Publish original research.
- Collaborate with team members and other teams.
- Speak at conferences and events.
- Transfer technology to product groups.
- Collaborate with external researchers.
About You
Ideal candidates will have:
- Currently pursuing a Ph.D. in Computer Science/Engineering or Electrical Engineering.
- Strong background in theory and practice of LLM and foundation models, as well as deep learning.
- Excellent knowledge of model compression and acceleration techniques.
- Excellent programming skills in rapid prototyping environments like Python; C++ and parallel programming (e.g., CUDA) is a plus.
- Knowledge of common machine learning frameworks, such as PyTorch.
- Outstanding research track record with a strong publication record.
- Excellent communication skills.
Benefits
NVIDIA offers competitive salaries, bonuses, comprehensive healthcare, and other perks.
Training & Development
Opportunities for professional development and mentorship are provided to support growth in this role.
Career Progression
Potential for career advancement within NVIDIA, with expected growth in expertise and responsibilities over the next few years.
How to Apply
Submit your application by following the instructions provided in the job posting. Ensure all required documents are included.
Report this job