Senior Deep Learning Algorithm Engineer
Job Description
NVIDIA is seeking a Senior Deep Learning Algorithm Engineer to optimize Deep Learning training performance. This role is perfect for engineers who aren't afraid to work across all layers of the hardware/software stack, from GPU architecture to Deep Learning Framework. The position offers a unique opportunity to impact hardware and software roadmaps at a leading AI technology company. The role involves optimizing deep learning workloads, collaborating with researchers, implementing production software, and building automation tools. The ideal candidate should have strong expertise in deep learning, computer architecture, and performance optimization, with programming skills in C++ and Python. Experience with modern LLM frameworks, GPU programming, and production deployment of Deep Learning models is advantageous. As part of NVIDIA's datacenter business, you'll work with cross-functional teams and help establish data-driven approaches to hardware design and system software development.
Responsibilities For Senior Deep Learning Algorithm Engineer
- Understand, analyze, profile, and optimize deep learning training and inference workloads
- Collaborate with researchers and engineers across NVIDIA
- Implement production-quality software across NVIDIA's deep learning platform stack
- Build tools to automate workload analysis, workload optimization, and other critical workflows
Requirements For Senior Deep Learning Algorithm Engineer
- 5+ years of experience
- MSc or PhD in CS, EE or CSEE or equivalent experience
- Strong background in deep learning and neural networks
- Deep understanding of computer architecture and GPU architecture
- Proven experience analyzing, modeling and tuning application performance
- Programming skills in C++ and Python
Related Jobs
