About the job
We are now looking for a Senior Software Engineer for Deep Learning Inference! Would you like to make a big impact in Deep Learning by helping build a state-of-the-art inference framework for accelerating Deep Learning models, especially Large Language Models, on NVIDIA GPUs? We are now welcoming exceptional software engineers to apply to Senior Engineering positions in the Deep Learning Inference TensorRT software team.
Responsibilities
Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance
Develop components of TensorRT, NVIDIA’s SDK for high-performance deep learning inference.
Closely follow academic developments in the field of artificial intelligence and feature update TensorRT
Use C++ and Python to build graph parsers, optimizers, and tools for effective deployment of trained deep learning models.
Collaborate with teams of deep learning experts, GPU architects and DevOps engineers across diverse teams.
Qualifications
Minimum
A Bachelor's, Master's, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering or related field.
3+ years of software development experience.
Strong experience with the latest C++ standardsC++11/C++14/C++17/C++20, etc..
Strong grasp of Machine Learning concepts.
Experience and knowledge in Computer Architecture, Data Structures, Algorithms.
Excellent communication skills, and an aptitude for collaboration and teamwork.
Preferred
Experience developing System Software.
Proficiency in Python as well as Background in GPU kernel programming using CUDA or OpenCL.
Experience in software performance benchmarking, profiling, and optimizations.
Background in compiler development
Experience in working with TensorRT, PyTorch, TensorFlow, ONNX Runtime or other ML frameworks.