> Markdown version of [/jobs/ext/3953875-senior-software-development-engineer-neural-graph-infrastructure](https://www.wearedevelopers.com/jobs/ext/3953875-senior-software-development-engineer-neural-graph-infrastructure). 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 Development Engineer, Neural Graph Infrastructure - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $168,000.0 - $264,500.0 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Artificial Intelligence, Very-Large-Scale Integration, Artificial Neural Networks, C++ (Programming Language), Code Generation, Computer Engineering, Data Infrastructure, Data Structures, Python (Programming Language), Network Administration, Object-Oriented Software Development, Software Architecture, Software Engineering, Graphics Processing Unit (GPU), Large Language Models, Agentic-AI, Build Management, Information Technology - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-development-engineer-neural-graph-infrastructure-santa-clara-ca--c4545385-1c0a-44e4-a01e-a70192069a3e ## About the Role Software Development, Software Engineering, Autonomous Driving Systems, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Network Administration/Management, Neural Networks, CAD/CAM (Computer-Aided Design/Computer-Aided Manufacturing), Semiconductors, Object Oriented Programming Methodologies, * 8+ years of relevant software engineering experience. * BS or MS in Computer Science or Computer Engineering, or equivalent experience. * Practical experience in C++ and Python programming. * Strong foundations in software building, algorithms, and data structures. * Proficiency in software architecture: you've built systems, not just contributed to them. * Strong communication skills and comfort working across fields during an evolving development cycle. Ways to stand out from the crowd: * Background in graph-scale data infrastructure or GNN-based systems. * Exposure to ML or agentic tooling, particularly LLM-based code generation. * Familiarity with EDA or VLSI build environments. * Experience exposing software toolchains to AI agents or building developer-facing AI interfaces.