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NVIDIA

engineering opportunity

Senior Software Engineer, Deep Learning Inference - TensorRT

Develop robust inferencing software for deep learning models, particularly on NVIDIA GPUs. Collaborate with diverse teams to enhance TensorRT, NVIDIA’s SDK for high-performance deep learning inference.

Santa Clara, California, United StateshybridFULL_TIME

Posted

About the role

What will you do at NVIDIA?

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: 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. 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 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. Applications for this job will be accepted at least until

June 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in

its recruiting processes. NVIDIA is committed to fostering an inclusive 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure

powers global intelligence, transforming every industry. Learn more about

NVIDIA.

Which skills does this role require?

C++PythonMachine LearningComputer ArchitectureData StructuresAlgorithmsSystem SoftwareCUDAOpenCLSoftware Performance BenchmarkingProfilingOptimizationsCompiler DevelopmentTensorRTPyTorchTensorFlowONNX RuntimeDeep LearningInferenceNVIDIASDKGraph ParsersOptimizersDeploymentPerformance BenchmarkingAISoftware DevelopmentCollaborationTeamworkLarge Language ModelsReal-time ComputingLLMs

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