Solutions Architect, AI and ML

Job Overview NVIDIA is building the world’s leading AI company, and we are looking for an experienced Cloud Solution Architect to help customers adopt GPU hardware and software, as well as build and deploy Machine Learning (ML), Deep Learning (DL), and data analytics solutions on various Cloud Computing Platforms. As part of the Solutions Architecture team, you will engage directly with developers, researchers, and data scientists—one of NVIDIA’s most strategic technology customers—and work with business and engineering teams on product strategy to drive end‑to‑end technology solutions that apply NVIDIA’s full set of technologies based on customers’ business needs. What You Will Be Doing Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s ML/DL and data science software and hardware technologies. Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud‑based GPU platforms. Build custom PoCs for solutions that address customers’ critical business needs, applying NVIDIA hardware and software technology. Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions. Prepare and deliver technical content to customers, including presentations about purpose‑built solutions and workshops about NVIDIA products and solutions. Conduct regular technical customer meetings for project/product roadmap, feature discussions, and introductions to new technologies, establishing close technical ties to the customer to facilitate rapid resolution of customer issues. What We Need To See 3+ years of Solutions Engineering (or similar Sales Engineering) experience or equivalent. 3+ years of work‑related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience. BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields, or equivalent experience. Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure. Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, and data‑center deployments. Ability to use at least one scripting language (e.g., Python). Good programming and debugging skills. Ability to communicate ideas and code clearly through documents and presentations. Ways To Stand Out From the Crowd AWS, GCP or Azure Professional Solution Architect Certification. Hands‑on experience with NVIDIA GPUs and SDKs (e.g., CUDA, RAPIDS, Triton). System‑level experience specifically with GPU‑based systems. Experience with Deep Learning at scale. Familiarity with parallel programming and distributed computing platforms. Occasional travel is required for local on‑site visits to customers and industry events. Base salary range: 124,000 USD – 195,500 USD for Level 2 and 152,000 USD – 241,500 USD for Level 3. You will also be eligible for equity and benefits. Applications will be accepted until March 13, 2026. NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We do not discriminate 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. Job ID: JR2000691 #J-18808-Ljbffr NVIDIA