NVIDIA is building the world’s leading AI company, and we are looking for an experienced Accelerated Computing Solution Architect to help assist customers with adoption of GPU hardware as well as building and deploying solutions around Machine Learning (ML) and Deep Learning (DL), data analytics and other GPU-accelerated technologies. 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 so you will engage directly with developers, researchers, and data scientists with some of NVIDIA’s most strategic technology customers as well as work directly with business and engineering teams on product strategy as it pertains to these customers.We are looking for a Solutions Architect to help drive end-to-end technology solutions applying NVIDIA’s full set of technologies based on business needs of customers. Join us in this exciting endeavor!What you’ll be doing:Working with Cloud Service Providers and/or Consumer Internet customers to develop and demonstrate solutions based on NVIDIA’s groundbreaking ML/DL and data science software and hardware technologiesPartner 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 solutionsConduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies. Establish close technical ties to the customer to facilitate rapid resolution of customer issuesBuild custom PoCs for solution that address customer’s critical business needs applying NVIDIA hardware and software technologyPrepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.What we need to see:8+ years of relevant experienceMS/PhD in Computer Science, Electrical/Computing Engineering, Physics, Mathematics, or other Engineering fields or equivalent experienceExperience as an ML/Software Engineer with ability to use at least one scripting language (i.e., Python)Practical knowledge of data science (i.e. adapting a model architecture for a specific use case rather than creating a brand new one)Strong problem solving skills coupled with customer-facing communication skillsStrong verbal and written communication skills, including presentation skills to engage with your customer or audienceEnjoy working in a constantly evolving environment without losing focusAbility to creatively debug and solve problemsEfficient time management and capable of balancing multiple tasksWays to stand out from the crowd:External customer facing skill-set and backgroundExperience working with TensorFlow, PyTorch or other DL FrameworksExperience using containerized environments (i.e. Docker, Kubernetes, etc.)Experience or exposure to cloud platforms like AWS, Azure, GCP, or OCISystem-level experience specifically GPU-based systemsHands on experience with NVIDIA hardware and software SDKs (i.e. RAPIDS, Omniverse, etc.)We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and industry events. We are open to remote work location and look forward to have 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 $176,000 - $270,250. 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 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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