Description
As a Senior Software Solutions Architect for NVIS, you will play a crucial role in helping us build and deploy world-class AI and machine learning solutions. You will help our customers deploy cloud-native software stacks, such as NVIDIA AI, to embed guidelines in machine learning operations. You will collaborate closely with infrastructure admins, data scientists, and ML engineers to deploy tools like NVIDIA Run:ai and NVIDIA Mission Control. You will integrate NVIDIA software into customers' existing ML ops environments and develop scripts to streamline these processes. You will diagnose and resolve customer issues within sophisticated cloud-native environments, applying profiling and analysis tools to improve deep learning model performance. You will work with internal collaborators, including Pre-Sales Solution Engineers, Account Managers, and Product teams, to understand business requirements and provide technical insights. You will develop new tools and scripts to facilitate seamless integration with other Data Science tools.
The ideal candidate will have a minimum of 5 years of experience in a customer-facing role, a B.Sc in Computer Science or equivalent experience, proven experience presenting to technical audiences and crafting technical content for developers, proficiency in Linux/Unix Operating Systems, hands-on experience with Kubernetes and containerization technologies like Docker, demonstrated experience in software development, certification as a Kubernetes Administrator (CKA), and experience with AI and ML tools.