> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Senior Software Engineer, AI Infrastructure Solutions Canonical URL: https://nextmove.md/fde/jobs/856d6700dc56d35f NVIDIA posts a senior FDE role to build for teams inside the company in Santa Clara, CA, at $152,000–$241,500 base, level with the senior FDE median of $190,000 across 1,876 postings with pay. Build and deploy agentic AI systems and shared infrastructure for NVIDIA’s Modular Diagnostics team, automating silicon bring-up, GPU testing, validation, and debugging workflows. Read from the employer’s posting on November 11, 2026. - [NVIDIA](https://nextmove.md/fde/companies/nvidia) First seen Nov 11, 2026 · open on Eightfold as of Nov 11, 2026 **$152,000–$241,500** *annualized* Santa Clara, CA Full-time Build and deploy agentic AI systems and shared infrastructure for NVIDIA’s Modular Diagnostics team, automating silicon bring-up, GPU testing, validation, and debugging workflows. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F856d6700dc56d35f&placement=top) - [View posting at NVIDIA](https://nvidia.eightfold.ai/careers/job/893398292758?domain=nvidia.com) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $152K–$242K Level with the median Midpoint $197K · median $190K This job $152K to $242K. Senior FDE postings, 1,876 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds for teams inside the company Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: Internal teams - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **5+ years** delivering production software, infrastructure, platform, or AI solutions Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 5+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in Santa Clara, CA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: Santa Clara, CA - **Employment type**: Full-time ## More like this [NVIDIA](https://nextmove.md/fde/companies/nvidia) ### [Senior Software Engineer, AI Infrastructure Solutions](https://nextmove.md/fde/jobs/8732eaa36c8f1b29) Santa Clara, CA 2w ago $152,000–$241,500 [Patch](https://nextmove.md/fde/companies/patch) ### [Software Engineer - Market Intelligence](https://nextmove.md/fde/jobs/37f1a4334c032ed2) San Francisco, CA Hybrid 5w ago $170,000–$220,000 [Joby Aviation](https://nextmove.md/fde/companies/joby-aviation) ### [Senior AI Engineer](https://nextmove.md/fde/jobs/b7e5db4b2b2be802) San Carlos, CA 2w ago $137,200–$206,600 - [Other jobs at NVIDIA (27)](https://nextmove.md/fde/companies/nvidia) ## The job description from NVIDIA 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 other objective job-related factors. The expected base salary range for this position 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 November 3, 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. [View posting at NVIDIA](https://nvidia.eightfold.ai/careers/job/893398292758?domain=nvidia.com) ## About NVIDIA Builds accelerated computing platforms spanning processors, networking, systems, software, and services for data centers, gaming, professional visualization, and automotive markets. 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