Senior Software Engineer, Deep Learning Inference - TensorRT

Senior Software Engineer – Deep Learning Inference

• 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 Dev Ops 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++ standards C++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.

• 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, Tensor Flow, ONNX Runtime or other ML frameworks.

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.

Applications for this job will be accepted at least until March 21, 2026.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.