> Markdown version of [/jobs/ext/2279391-senior-system-software-engineer-dynamo-triton-inference-server](https://www.wearedevelopers.com/jobs/ext/2279391-senior-system-software-engineer-dynamo-triton-inference-server). 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 System Software Engineer - Dynamo-Triton Inference Server - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $152,000.0 - $241,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Bug Tracking Systems, C++ (Programming Language), Software Debugging, Distributed Systems, Memory Management, Github, Python (Programming Language), Open Source Technology, Software Engineering, System Software, Pytorch, Large Language Models, Deep Learning, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT - **Published:** August 28, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-System-Software-Engineer---Dynamo-Triton-Inference-Server_JR2013405 ## About the Role * MS or PhD in Computer Science or relevant field (or equivalent experience). * 5+ years of professional experience working on deep learning software. * Excellent Rust & C++ skills, familiarity with Python, and strong programming & software design skills including debugging, performance analysis, and test design. * Experience with high-scale distributed systems and ML systems. * Strong communication skills and ability to work in a fast-paced, agile team environment. Ways to stand out from the crowd: * Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM. * Knowledge of GPU memory management, cache management, or high-performance networking. * Experience with distributed systems programming. * Experience in contributing to a large open source project: use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc. ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Nemotron: NVIDIA's open model strategy for developers](https://www.wearedevelopers.com/videos/100064-nemotron-nvidia-s-open-model-strategy-for-developers) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) - [Trends, Challenges and Best Practices for AI at the Edge](https://www.wearedevelopers.com/videos/630-trends-challenges-and-best-practices-for-ai-at-the-edge) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)