Senior Solution Architect, MLOps - AI Factory

Overview

• We are looking for an AI Factory Solution Architect.
• NVIDIA is at the forefront of the AI computing revolution, building innovative deep learning solutions that reshape industries worldwide.
• In this role, you will play a key role in introducing our advanced GPU products to deployments across data centers.
• If you enjoy system building and have a demonstrable track record of technical customer interactions, this is a prime opportunity to make a meaningful contribution.
• What You'll Be Doing: Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers.
• Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications.
• Be an internal champion for Deep Learning and Infrastructure among the NVIDIA technical community.
• Support Development activities and engage in POCs/POVs to validate new features, and architectures.
• Develop solutions and showcase the AI ecosystem.
• What We Need To See: B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.
• 5+ years in software development or ML engineering.
• Extensive ability to solve problems within the customer infrastructure.
• Practical expertise with on-premises Kubernetes (K8S) infrastructure-orchestration and platform.
• Experience working with containers and MLOps tools.
• Background with modern Deep Learning software architecture and frameworks including PyTorch, vLLM and TritonServer.
• Capable of working in a constantly evolving environment without losing focus.
• Committed with strong analytical and problem solving skills.
• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
• Ways To Stand Out From The Crowd: Technical knowledge of developer digital platforms and their trends.
• Experience working with Nvidia operators.
• Expertise in operating Kubernetes, as well as experience writing or customizing Kubernetes configurations.
• Background in deploying large-scale multi-node training and inferencing pipelines.
• Good presentation skills 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 individuals in the world working for us.
• If you're creative and autonomous, we want to hear from you.