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What you’ll be doing:
Develop components of TensorRT, NVIDIA’s SDK for high-performance deep learning inference.
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.
What we need to see:
A Bachelor's, Master's, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering or related field.
6+ years of software development experience.
Strong experience with C++11/C++14.
Strong grasp of Machine Learning concepts, especially Natural Language Processing.
Excellent communication skills, and an aptitude for collaboration and teamwork.
Ways to stand out from the crowd:
Experience developing System Software.
Proficiency in Python as well asBackground 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.
You will also be eligible for equity and .
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