Senior Software Engineer, 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.

• 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.

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.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .