Senior Software Engineer, Deep Learning Inference, TensorRT

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.

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.

• 3+ years of software development experience.

• Strong experience with C++11/C++14/C++17.

• 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.

Ways to stand out from the crowd:

• 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.

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 in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. Come, join our TensorRT Workflows team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

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