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# Senior Software Engineer, AI Infrastructure Solutions

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, C++ (Programming Language), Nvidia CUDA, Computer Programming, Computer Engineering, Software Debugging, Programming Tools, General-Purpose Computing on Graphics Processing Units, Hardware Design, Python (Programming Language), Open Source Technology, Software Tools, Software Engineering, AI Infrastructure, Graphics Processing Unit (GPU), Retrieval-Augmented Generation, Large Language Models, Model Validation, Agentic-AI, Information Technology, Data Management, Machine Learning Operations, Data Pipelines
- **Published:** October 26, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--AI-Infrastructure-Solutions_JR2028372

## About the Role

* BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
 * 5+ years delivering production software, infrastructure, platform, or AI solutions.
 * Strong programming skills in Python and C/C++.
 * Track record of building applications with large language models, AI agents, retrieval-augmented generation, tool use, or workflow orchestration.
 * Demonstrated ability to build scalable services, APIs, data pipelines, and production software infrastructure.
 * Strong problem-solving, debugging, and system-design skills with a history of shipping reliable systems.
 * Effective collaboration across technical and business teams, with clear communication and the ability to drive solutions from idea to production.

Ways to stand out from the crowd:

 * Background in GPU computing, CUDA, GPU architecture, or silicon bring-up processes.
 * Familiarity with engineering diagnostics, hardware development workflows, or systems software.
 * Hands-on work with MLOps, model evaluation frameworks, AI observability tools, or production AI monitoring.
 * Contributions to open-source AI/ML projects or developer tools.
 * Prior work building internal developer platforms or engineering efficiency tooling.

## Description

* Build and deliver agentic AI solutions-autonomous systems that reason, plan, and take actions. These automate silicon bring-up, test and validation frameworks, debugging, and engineering workflows to speed up GPU launches.
 * Build scalable AI infrastructure, services, APIs, and reusable platforms that enable teams across NVIDIA to develop and deploy AI-powered applications.
 * Integrate AI agents with engineering tools, knowledge bases, data platforms, and existing business processes to build end-to-end intelligent workflows.
 * Partner with multi-functional teams across Modular Diagnostics and adjacent organizations to identify high-impact use cases, define requirements, develop prototypes, and deploy production-ready solutions.
 * Establish evaluation, observability, security, and reliability practices for AI systems to ensure solutions perform at scale and meet enterprise standards.
 * Drive projects from concept through adoption, measure their impact against clear success criteria, and continuously improve their efficiency.