> Markdown version of [/jobs/ext/2869739-nvidia-s-executive-briefing-center-ebc-solutions-architect](https://www.wearedevelopers.com/jobs/ext/2869739-nvidia-s-executive-briefing-center-ebc-solutions-architect). 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). --- # NVIDIA's Executive Briefing Center (EBC) Solutions Architect - **Company:** NVIDIA Corporation - **Location:** Santa Clara, United States - **Experience:** Experienced - **Salary:** $124,000.0 - $195,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, C++ (Programming Language), Cloud Computing Security, Communications Protocols, Nvidia CUDA, Computer Engineering, Continuous Integration, Github, InfiniBand, Python (Programming Language), Linux System Administration, OpenShift, SAS (Software), Reinforcement Learning, Google Cloud, Pytorch, Large Language Models, Multi-Agent Systems, Apache Spark, Parallel Computation, Kubernetes, Information Technology, Dask, TensorRT, Nim (Programming Language), Oracle Cloud Infrastructure - **Published:** September 12, 2026 - **Apply:** https://startup.jobs/solutions-architect-executive-briefing-center-2100-nvidia-usa-10001972 ## About the Role * BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, AI/ML, or a related field (or equivalent experience) * 2+ years as an ML/Software Engineer or Solutions Architect writing production-level code in Python and/or C/C++ in Linux environments. * Validated experience building sophisticated agentic and multi-agent AI systems using orchestration frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK -including tool-using and routing agents. Solid understanding of MCP and A2A is vital. * Strong background in PyTorch and distributed GPU (post-)training. Able to quickly prototype and build scalable GPU-accelerated architectures. Applies test-time compute, reinforcement learning, inference optimization, and post-training. Deploys workloads at scale on public cloud (AWS, GCP, Azure, OCI) or on-premise. * Strong grasp of the way C-Suite and Industry Leaders think paired with excellent communication and presentation skills. Able to explain sophisticated ideas to both technical and non-technical groups. Leads projects from start to finish in a fast-paced, multitasking setting. Ways to stand out from the crowd: * Practical experience working directly with the NVIDIA agentic AI software stack-NVIDIA NIM, NeMo Framework, NeMo Retriever, NeMo Agent Toolkit, Dynamo, Triton Inference Server, TensorRT-LLM, and AI Blueprints. * Expertise building LLM evaluation harnesses, benchmarking systems, observability platforms, and safety guardrails, plus fine-tuning and optimizing reasoning-focused LLMs and SLMs through timely engineering and quantization. * Experience developing production-grade deployment patterns using Kubernetes/OpenShift, CI/CD automation, and secure cloud-native infrastructure, with familiarity with modern agent architectures and emerging communication protocols such as MCP (Model Context Protocol) or Google A2A. * Proven experience handling NVIDIA GPU architectures, CUDA-X libraries (cuBLAS, cuDNN, RAPIDS), and HPC technologies (NCCL, InfiniBand, MPI, NVLink), along with familiarity in large-scale data processing and distributed/parallel computing frameworks (e.g., Spark, Dask). * A strong public profile (blogs, GitHub, conference talks) that demonstrates your expertise and passion for agentic AI. ## Description * Architect, build, and ship end-to-end Agentic AI applications for a variety of use cases-spanning multi-agent coordination, long-horizon reasoning, planning, and tool use. * Act as Technical Advisor alongside fellow Subject Matter Experts (SME) in Executive Briefings. * Creating and presenting demos that are used at Trade Shows or Customer Meetings. * Partner with NVIDIA engineering, product, and sales teams to secure build wins, translate customer feedback into actionable product and roadmap insights, and scale global expertise through technical collateral, workshops, and developer communities. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Nemotron: NVIDIA's open model strategy for developers](https://www.wearedevelopers.com/videos/100064-nemotron-nvidia-s-open-model-strategy-for-developers) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [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)