--- title: Senior Solutions Architect, Generative AI Deployment description: NVIDIA is hiring for the Senior Solutions Architect, Generative AI Deployment AIOps role in Santa Clara, CA. See the full description and apply. type: job url: https://www.foundrole.com/jobs/senior-solutions-architect-generative-ai-deployment-aiops-at-nvidia-01a0b288-8718-7273-870c-7358964053f8 date: 2026-11-15T01:26:44Z og_description: Join NVIDIA as Senior Solutions Architect, Generative AI Deployment AIOps in Santa Clara, CA. Pays $184K–$287.5K per year. og_image: https://www.foundrole.com/og/nppfb7.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) | | **Location** | Remote | | **Salary** | $184K/yr - $287.5K/yr | | **Type** | Full Time | | **Posted** | Oct 26, 2026 | ## Is this job real? **Ghost job check:** A- · Low risk. Probably a real opening. ## Visa sponsorship - **H-1B:** NVIDIA sponsors H-1B visas. It filed 3,120 H-1B petitions (FY2026 Q1 – FY2026 Q4). - **E-Verify:** No E-Verify enrollment on record for NVIDIA. ## Pay for similar jobs Most similar jobs pay $197,000 – $236,000 a year (median $236,000). ## Description NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on inference for Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA! **What You Will Be Doing:** - Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions - Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas - Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform - Working closely with customers to help them adopt and build creative solutions using NVIDIA technology and MLOps solutions - Analyzing performance and power efficiency of AI inference workloads on Kubernetes - Some travel to conferences and customers may be required (20%) **What We Need To See:** - 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 with Deep Learning frameworks such as PyTorch and TensorFlow - Strong fundamentals in programming, optimizations, and software design, especially in Python - Proficiency in problem-solving and debugging skills in GPU orchestration and Multi-Instance GPU (MIG) management within Kubernetes environments - Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments - Excellent knowledge of the theory and practice of LLM and DL inference - Excellent presentation, communication and collaboration skills **Ways To Stand Out From The Crowd:** - Prior experience with DL training at scale, deploying or optimizing DL inference in production - Experience with NVIDIA GPUs and software libraries such as [NVIDIA NIM](https://developer.nvidia.com/nim), [Dynamo](https://developer.nvidia.com/dynamo), [TensorRT](https://developer.nvidia.com/tensorrt), [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM) - Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design - Familiarity with parallel programming and distributed computing platforms   #NALASAHiring 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 184,000 USD – 287,500 USD. You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/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. ## Skills - Amazon DynamoDB - Debugging - GPU Orchestration - Deep Learning - Design Thinking - MLOps - Performance Analysis - Software Design - Problem Solving - Python - Observability - Kubernetes - Collaboration - TensorRT-LLM - Google Lighthouse - MIG Welding - Mathematics - Generative AI - AI Inference - C++ - Containerization - Store Presentation - GPU (Graphics Processing Unit) - Large Language Models (Llm) - Computer Engineering - Performance Profiling - Computer Science - NVIDIA TensorRT - Communication - Github - Proof of Concept Development - Test Case Design - Generative AI Foundations - Code Optimization - TensorFlow - Distributed Systems ## Related - [More jobs at NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) - [Data & Analytics jobs](https://www.foundrole.com/careers/data-and-analytics?utm_source=ai_markdown)- [Machine Learning & AI jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai?utm_source=ai_markdown)- [Artificial Intelligence Engineer jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai/artificial-intelligence-engineer?utm_source=ai_markdown)- [AI Architect jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai/artificial-intelligence-engineer/ai-architect?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [New York](https://www.foundrole.com/locations/us/new-york?utm_source=ai_markdown) — 150102 jobs - [New York, NY](https://www.foundrole.com/locations/us/new-york/new-york?utm_source=ai_markdown) — 66066 jobs - [Computer Hardware](https://www.foundrole.com/sectors/technology/computer-hardware?utm_source=ai_markdown) — 22574 jobs - [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) — 2765 jobs ## Related pages - [New York](https://www.foundrole.com/locations/us/new-york?utm_source=ai_markdown) — 150102 jobs - [New York, NY](https://www.foundrole.com/locations/us/new-york/new-york?utm_source=ai_markdown) — 66066 jobs - [Computer Hardware](https://www.foundrole.com/sectors/technology/computer-hardware?utm_source=ai_markdown) — 22574 jobs - [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) — 2765 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)