> Markdown version of [/jobs/ext/1279252-system-software-engineer-dynamo-triton-inference-server-new-college-grad-2026](https://www.wearedevelopers.com/jobs/ext/1279252-system-software-engineer-dynamo-triton-inference-server-new-college-grad-2026). 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).

---

# System Software Engineer, Dynamo-Triton Inference Server - New College Grad 2026

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Starter
- **Salary:** $124,000.0 - $195,500.0
- **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, System Software, Pytorch, Large Language Models, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT
- **Published:** July 15, 2026
- **Apply:** https://www.disabledperson.com/jobs/73668889-system-software-engineer-dynamo-triton-inference-server-new-college-grad-2026

## About the Role

* Pursuing or recently completed a MS or PhD in Computer Science or related field (or equivalent experience).
 * Excellent Rust or 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)
- [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia)
- [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

- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [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)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms)