NVIDIA is seeking a Senior Deep Learning Engineer for Agentic AI to contribute to the development of next-generation optimizations for efficiently serving generative AI at scale. The role involves developing cutting-edge AI optimization techniques at the intersection of algorithms, systems, and silicon.
Key responsibilities include:
- Staying current with the latest generative AI research
- Implementing and benchmarking large language and multi-modal models
- Developing innovative optimizations for deploying generative AI models at scale
- Collaborating with production teams to incorporate advancements into hardware and software frameworks
The ideal candidate will have:
- A master's degree (or equivalent experience) in Computer Science, AI, Applied Mathematics, or related fields
- Strong foundation in deep learning, especially generative models
- At least 5 years of relevant software development experience with modern deep learning frameworks like PyTorch
- A growth mindset and pragmatic attitude
Additional valuable experiences include:
- Published research in deep learning, particularly in algorithm development for efficient deployment at scale
- Experience with AI Agentic systems or benchmarking AI models
- CUDA programming and GPU performance optimization skills
- Familiarity with computer architecture and its relation to AI algorithm development
NVIDIA offers a competitive base salary range of $180,000 - $339,250 USD, along with equity and comprehensive benefits. The company values diversity and maintains an equal opportunity employment policy.
Join NVIDIA to shape the future of datacenter technology and contribute to groundbreaking advancements in AI and digital twins that are transforming industries and society.