[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) NVIDIA · Santa Clara, CA # Senior Software Engineer, AI Infrastructure Solutions US, CA, Santa Clara Senior individual contributor Software Engineering Listed on NVIDIA’s official careers site. Posted October 31, 2026. Check that it is still open and apply there. [Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--AI-Infrastructure-Solutions_JR2028372) [OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / Senior Software Engineer, AI Infrastructure Solutions ## Job description NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join NVIDIA’s Modular Diagnostics team and lead AI-powered innovation. Our team develops key diagnostic applications and infrastructure to test every NVIDIA GPU. This ensures flawless performance before launch. As part of the Senior Software Engineer, AI Infrastructure Solutions team you will build intelligent automation. This automation speeds up critical engineering workflows and improves GPU validation speed and quality. ### What you'll be doing 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. ### What we need to see 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. ## At a glance - Posted by the employer: Oct 31, 2026 - First seen by OpenNash: Oct 27, 2026 - Last checked: Nov 10, 2026 - Listed for: 14 days - Location: US, CA, Santa Clara[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--AI-Infrastructure-Solutions_JR2028372) ## Hiring at NVIDIA - Open jobs: 2,784 - New in the last 7 days: After two weekly collections - Tracked since: Jul 10, 2026 [All NVIDIA jobs](https://jobs.opennash.com/companies/nvidia/) · [Weekly hiring report](/reports/hiring/) ## More jobs at NVIDIA ### [Senior Software Engineer, AI Networking](https://jobs.opennash.com/companies/nvidia/jobs/a0c8e4e2539977dda365/) US, CA, Santa Clara ### [Senior Software Engineer, AIOps and Observability](https://jobs.opennash.com/companies/nvidia/jobs/f9b6bf0fbc92e4daba7b/) US, CA, Santa Clara ### [Senior Software Engineer, AV Planner - Autonomous Vehicles](https://jobs.opennash.com/companies/nvidia/jobs/9290e7eb5a0a36a8ec8f/) US, CA, Santa Clara ### [Senior Software Engineer, Agent Performance Modeling](https://jobs.opennash.com/companies/nvidia/jobs/ebb98b0915e57f2f0668/) US, CA, Santa Clara ### [Senior Software Engineer, Agentic Engineering](https://jobs.opennash.com/companies/nvidia/jobs/4404b46f39a818f99741/) US, CA, Santa Clara ## Similar jobs at other companies ### [Sr. Infrastructure Solutions Engineer](https://jobs.opennash.com/companies/truist/jobs/26880894047d30f86557/) Truist · Charlotte, North Carolina, USA ### [Cloud Lead Infrastructure Engineer - Technical Solutions Engineering](https://jobs.opennash.com/companies/jpmorganchase/jobs/45612cb6c80e7eb2cf41/) JPMorganChase · Jersey City, NJ, United States ### [Infrastructure Solutions Group Channel Sales Engineer](https://jobs.opennash.com/companies/lenovo-group/jobs/750843c1e368e9e2944a/) Lenovo Group · United States of America, North Carolina, Morrisville ### [Inside Sales Representative - AI & Infrastructure Solutions](https://jobs.opennash.com/companies/lenovo-group/jobs/e157855e0ecc527cb1e6/) Lenovo Group · United States of America, North Carolina, Morrisville ### [Security Systems Manager, AWS Infrastructure Security Product & Solutions, Security Products and Solutions](https://jobs.opennash.com/companies/amazon/jobs/0cb48c6889472c9ef6d9/) Amazon · US, VA, Herndon [Jobs in Santa Clara, CA](/locations/us/ca/santa-clara/)[Jobs in California](/locations/us-ca/)[Software Engineering jobs](/functions/software-engineering/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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