Deep Learning Engineer - New College Grad 2025

At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the development of next-generation inference optimizations and deliver industry-leading performance without compromising model quality. In this role, you will analyze and explore techniques to scale test-time compute and optimize low-latency inference. Your work will leverage cross-stack optimizations at the algorithmic and system level.

As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing the efficiency of our exponentially growing inference deployment needs and establishing a data-driven approach to algorithmic improvements, hardware design and system software development. We collaborate extensively with diverse teams at Nvidia, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary environment necessitates not only technical proficiency but also a growth mindset and a pragmatic attitude — qualities that fuel our collective success in shaping the future of datacenter technology.

What You'll Be Doing:

• Keeping abreast of the latest advancements in generative AI research.

• Prototyping and analyzing emergent techniques in the test-time compute space such as output refinement, speculation, and retrieval. Identifying opportunities for algorithmic as well as system optimizations.

• Pioneering the development of innovative optimizations to enable high quality inferencing on Nvidia GPUs.

• Collaborating closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.

What We Need to See:

• Master's or PhD degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.

• A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.

• Experience in modern deep learning frameworks such as PyTorch.

• Experience with benchmarking accuracy and performance of AI models.

Ways to Stand Out From the Crowd:

• Published research or noteworthy contributions to the field of deep learning, particularly in areas such as inference-time compute, conditional compute, speculative decoding, etc.

• Background with prototyping and/or deployment of emergent test time compute techniques.

• Experience with collaborating across algorithms, software and performance teams to deliver high quality solutions.

• Familiarity with computer architecture and how it relates to AI algorithms development.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!