Senior Deep Learning Engineer

NVIDIA is seeking a Senior Deep Learning Engineer to join their cutting-edge AI team. This role sits at the intersection of AI innovation and high-performance computing, focusing on developing next-generation inference optimizations for NVIDIA's GPU platforms.

The position offers an opportunity to work at the forefront of AI technology, specifically in advancing capabilities for AI datacenters and inference optimization. The role involves analyzing and implementing techniques to scale test-time compute and optimize low-latency inference, working with cross-stack optimizations at both algorithmic and system levels.

As a Senior Deep Learning Engineer, you'll be part of a team that plays a crucial role in maximizing the efficiency of NVIDIA's growing inference deployment needs. The position requires collaboration with various teams across NVIDIA, from deep learning research to silicon architecture, making it an ideal opportunity for someone who thrives in an interdisciplinary environment.

The role offers competitive compensation with a base salary range of $148,000 - $287,500 USD, plus equity and benefits. Located in either Redmond, WA or Santa Clara, CA, you'll be working with some of the most forward-thinking professionals in the technology industry.

Key responsibilities include staying current with generative AI research, prototyping emerging techniques in test-time compute, and developing innovative optimizations for NVIDIA GPUs. The ideal candidate will have a Master's degree in a relevant field, strong deep learning foundation, and at least 5 years of experience with modern deep learning frameworks.

NVIDIA's position as a leader in accelerated computing and AI makes this an exceptional opportunity for someone looking to make a significant impact in the field of AI and deep learning. The company's commitment to innovation and its role in transforming major industries means you'll be working on projects that shape the future of technology.