Deep Learning Software Engineer, TensorRT Performance - New College Grad 2027

NVIDIA is hiring a Deep Learning Software Engineer to improve the performance of its deep learning inference ecosystem. The role develops and optimizes inference frameworks, model pipelines, benchmarking workflows, and solutions across NVIDIA accelerators.

Responsibilities:

• Establish groundbreaking performance benchmarking methodologies and analysis workflows and identify performance issues and opportunities for NVIDIA’s inference ecosystem (e.g. TensorRT/TensorRT-EdgeLLM/Torch-TensorRT)
• Contribute features and code to NVIDIA/OSS inference frameworks including but not limited to TensorRT/TensorRT-EdgeLLM/Torch-TensorRT
• Develop new model pipelines for NVIDIA’s inference ecosystem with optimized performance including but not limited to areas like quantization, scheduling, memory management, and distributed inference to set the gold standard for Gen AI performance
• Work with cross-collaborative teams inside and outside of NVIDIA across generative AI, automotive, robotics, image understanding, and speech understanding to set directions and develop innovative inference solutions
• Scale performance of deep learning models across different architectures and types of NVIDIA accelerators