Deep Learning Software Engineer

Seeking a full-time Deep Learning Software Engineer specializing in TensorRT Performance, the successful candidate will analyze and enhance the performance of NVIDIA's inference ecosystem while collaborating with diverse teams to develop optimized deep learning solutions. Key responsibilities: Establish performance benchmarking methodologies and identify optimization opportunities for NVIDIA's inference frameworks Contribute to the development of features and code for TensorRT and related OSS inference frameworks Develop model pipelines with optimized performance focusing on areas such as quantization and distributed inference Required qualifications: Bachelor's, Master's, PhD, or equivalent experience in Computer Science, Computer Engineering, EECS, or AI 2 years of relevant software development experience Strong programming skills in C++ and Python Experience with deep learning frameworks like PyTorch, TensorFlow, and inference libraries such as TensorRT Experience in performance analysis and optimization Virtual Vocations Inc