Solutions Architect, AI and ML

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and software, as well as building and deploying 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 at NVIDIA's strategic technology customers, and work with business and engineering teams on product strategy. We are looking for a Solutions Architect to drive end-to-end technology solutions using NVIDIA's full set of technologies based on customer 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 customer business needs using 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 on NVIDIA products and solutions. Conduct regular technical customer meetings for project/product roadmaps, feature discussions, and introductions to new technologies. Establish 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 roles) or equivalent experience. 3+ years of work-related experience in Deep Learning and Machine Learning, including experience with deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA is highly desirable. 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, data center deployments. Ability to use at least one scripting language (e.g., Python). Good programming and debugging skills. Ability to communicate ideas 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. We make extensive use of conferencing tools, but occasional travel is required for on-site visits to customers and industry events. NVIDIA is widely considered to be one of the technology world’s most desirable employers. If you’re creative and autonomous, we want to hear from you! Compensation and benefits Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3. You will also be eligible for equity and benefits. Application timeline Applications for this job will be accepted at least until October 17, 2025. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We value diversity in our current and future employees, and 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. #J-18808-Ljbffr