> Markdown version of [/jobs/ext/2283705-solutions-architect-industry-accounts](https://www.wearedevelopers.com/jobs/ext/2283705-solutions-architect-industry-accounts). 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). --- # Solutions Architect, Industry Accounts - **Company:** NVIDIA Corporation - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $152,000.0 - $241,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Nvidia CUDA, Computer Engineering, Machine Learning, Tensorflow, Software Engineering, Pytorch, Deep Learning, Keras, Information Technology, Data Pipelines - **Published:** August 28, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-WA-Remote/Solutions-Architect--Industry-Accounts_JR2019541 ## About the Role * BS/MS in Engineering, Computer Engineering, or Computer Science - or equivalent experience. * 5+ years experience in an externally facing technical role. * Solid understanding of standard methodologies for solution design and implementation based on frameworks and platforms that are GPU-accelerated. * Detailed understanding of NVIDIA's software stack from drivers to SDKs and APIs. * Experience presenting to technical audiences and creating technical content for developers. * Passionate about getting things done quickly. * Excellent written and verbal communication skills. * Confirmed ability to handle multiple projects simultaneously. * Ability to work independently with minimal direction. * Please be prepared to provide samples of your work where you have created and delivered public-facing technical content, made forum contributions, etc. Ways to stand out from the crowd: * History of engaging and nurturing developers. * Hands-on experience with NVIDIA SDKs and key technologies (e.g. Riva, Triton, RAPIDS, cuDNN, CUDA, DL/ML Frameworks). * 3+ years of machine learning or deep learning experience. * In-depth knowledge of modern deep learning software design, data science workflows, and applications. * Familiarity with deep learning frameworks such as TensorFlow, PyTorch, Keras, or others. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [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) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Answer the Interview Question: “Why Do You Want to Be a Software Engineer?”](https://www.wearedevelopers.com/magazine/392-how-to-answer-the-interview-question-why-do-you-want-to-be-a-software-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)