> Markdown version of [/jobs/ext/1320654-senior-solutions-architect-ai-infrastructure-enterprise-isvs](https://www.wearedevelopers.com/jobs/ext/1320654-senior-solutions-architect-ai-infrastructure-enterprise-isvs). 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 Solutions Architect, AI Infrastructure Enterprise ISVs - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Computer Clusters, Computer Engineering, Data Centers, Distributed Computing Environment, Distributed Systems, Ethernet, Monitoring of Systems, InfiniBand, Machine Learning, Network Configuration and Change Management, Node.Js, Performance Tuning, Remote Direct Memory Access, Software Deployment, Systems Architecture, AI Infrastructure, Graphics Processing Unit (GPU), Computer Networking Systems, High Performance Computing, Delivery Pipeline, Large Language Models, Data Center Networking, Information Technology, Machine Learning Operations - **Published:** July 17, 2026 - **Apply:** https://www.disabledperson.com/jobs/73717138-senior-solutions-architect-ai-infrastructure-enterprise-isvs ## About the Role * BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) * 8+ years of hands-on experience in AI infrastructure, accelerated computing, distributed systems, cloud infrastructure, high-performance computing, or machine learning platforms * Strong experience designing, deploying, and operating accelerated computing infrastructure at scale * In-depth knowledge of AI cluster orchestration, scheduling, automation and CI/CD deployment pipelines * Understanding of data center networking technologies such as InfiniBand, Ethernet, RDMA, network configuration or performance tuning * Familiarity with infrastructure requirements for AI workloads, including distributed training, inference serving, model deployment, storage performance, and cluster reliability * Excellent presentation, communication, problem-solving, documentation, and collaboration skills Ways To Stand Out From The Crowd: * Experience architecting AI factories, large GPU clusters, multi-node training environments, production inference platforms * Experience deploying LLM training, fine-tuning, RAG, and inference workflows on large-scale AI infrastructure * Experience evaluating cluster performance using benchmarks such as MLPerf, HPL, or workload-specific performance tests * Applications and systems-level knowledge of OpenMPI, NCCL, distributed training frameworks, and GPU communication patterns * Experience delivering technical training, workshops, whitepapers, blogs, or mentoring engineers, researchers, and customers on AI/HPC infrastructure ## Description NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI and accelerated computing technologies. At NVIDIA, our solutions architects work across product, engineering, sales, developer relations, business development, and partner teams to help customers design, deploy and optimize AI infrastructure. This role will focus on helping ISVs adopt NVIDIA accelerated infrastructure for training, fine-tuning, inference, retrieval, and agentic AI workloads. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA! You will serve as a technical advisor for accelerated systems architecture, GPU and networking systems, cluster design, architectures, orchestration, validation, and production deployment for AI data centers. What You Will Be Doing: * Partner with ISVs on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and production deployment guidance * Advise on the design, build-out, and optimization of accelerated AI infrastructure, including large-scale clusters * Support infrastructure design across compute, networking, storage, containers, observability, security, power, and data center operations * Drive adoption of systems monitoring, telemetry, and management tools to improve cluster utilization, reliability, performance and workload insight * Build repeatable reference architectures, deployment guides, sizing guidance, benchmark reports, technical playbooks, demos and whitepapers * Travel up to 20% customer meetings may be required ## Related Videos - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js) - [AI Factories at Scale](https://www.wearedevelopers.com/videos/1139-ai-factories-at-scale) - [Building a hypercar from scratch](https://www.wearedevelopers.com/videos/607-building-a-hypercar-from-scratch) - [Stop Using Node.js Like It’s 2020! - Alfonso Graziano](https://www.wearedevelopers.com/videos/1863-stop-using-node-js-like-it-s-2020-alfonso-graziano) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [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) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)