Description
NVIDIA is seeking an engineering intern to join its Deep Learning algorithms team. As an intern, you will interact with internal partners, users, and members of the open-source community to analyze, define, and implement highly optimized algorithms and deep learning frameworks.
Responsibilities:
- Research, analyze, and document state-of-the-art algorithms
- Design and implement a deep learning framework for model optimization
- Develop algorithms for deep learning, data analytics, machine learning, or scientific computing
- Analyze performance of GPU implementations
- Benchmark software stacks across training and inference scenarios
- Evaluate and understand capabilities of frontier models
- Collaborate with team members and other partners
Requirements:
- Pursuing MSc or PhD in Computer Science, Artificial Intelligence, Applied Math, or related field
- Excellent programming skills in Python, debugging, performance analysis, and test design
- Strong algorithms and mathematical fundamentals
- Good understanding of Deep Learning fundamentals
- Ability to work independently and manage your own development effort
- Good communication and documentation habits
Preferred qualifications:
- Deep Learning experience
- Experience with DL Frameworks (PyTorch preferred) and Large Language Models
- Experience with model compression techniques such as pruning, NAS, distillation, and quantization
- Knowledge of CPU and/or GPU architecture
- First-author publication in a top-tier deep learning or AI conference
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Switzerland-Zurich/Deep-Learning-Algorithm-Engineering-Intern---2026_JR2012814