Senior 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 assist customers with the 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, we work with some of the most exciting computing hardware and software technologies including the latest breakthroughs in machine learning and data science. A Solutions Architect is the first line of technical expertise between NVIDIA and our customers, engaging directly with developers, researchers, and data scientists with some of NVIDIA’s most strategic technology customers, as well as working directly with business and engineering teams on product strategy. We are looking for a Solutions Architect to help drive end-to-end technology solutions applying NVIDIA’s full set of technologies based on customers' business needs. Join us in this exciting endeavor!What you will be doing:Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s ML/DL and data science software and hardware technologies.Building and deploying AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.Building custom PoCs for solutions that address customers' critical business needs applying NVIDIA hardware and software technology.Partnering 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.Preparing and delivering technical content to customers, including presentations about purpose-built solutions and workshops about NVIDIA products and solutions.Conducting 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 roles) or equivalent experience.3+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.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 (i.e., Python).Good programming and debugging skills.Ability to communicate your ideas/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, etc.).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 local on-site visits to customers and industry events. We are open to remote work locations and look forward to having you join our team! NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!The base salary range is 112,000 USD - 224,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse 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.

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