> Markdown version of [/jobs/ext/41023-senior-software-engineer-deep-learning-inference](https://www.wearedevelopers.com/jobs/ext/41023-senior-software-engineer-deep-learning-inference). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Deep Learning Inference... - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $152,000.0 - $241,500.0 - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), Profiling, Nvidia CUDA, Computer Programming, Computer Engineering, Data Structures, DevOps, Python (Programming Language), Machine Learning, OpenCL, Tensorflow, Software Engineering, System Software, Pytorch, Deep Learning, Information Technology, ONNX (Open Neural Network Exchange) Format, TensorRT, C++14, Software Performance - **Published:** May 14, 2026 - **Apply:** https://www.juju.com/job/00000000fz95vy ## About the Role + 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. ## Description + 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. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) - [30 Golden Rules of Deep Learning Performance](https://www.wearedevelopers.com/videos/11-30-golden-rules-of-deep-learning-performance) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer) - [Is Software Engineering Hard?](https://www.wearedevelopers.com/magazine/448-is-software-engineering-hard)