Work with NVIDIA Product Teams to understand new product roadmaps and requirements primarily Rack Scale AI Products.
Finding Optimum Solutions to deploy these products in a Datacenter or a Lab environment using sophisticated design techniques, services and tools.
Assist in roll-out and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies.
Work closely with world-class engineers, architects, technical product managers and application developers setting the best strategies in place for a product launch.
Defining and implementing full scale solutions for product onboarding into our hosted and private cloud environments.
Solve sophisticated problems involving multi-site deployments of NVIDIA products and directly contribute to the overall quality of deployments and improve time to market next gen products.
Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to prototype to deployments.
Integrate and Optimize Cluster Deployment methods and manage SW stack deployments, including provisioning these services into the cloud.

Requirements

Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.
12+ years of relevant experience.
6+ years of Linux and Scripting experience.
Solid background on OS Kernels and system engineering.
A track record of quickly understanding new technologies outside of your domain expertise and deploying systems in sophisticated configurations from hardware through multiple layers of software in a fast-paced environment.
Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture, as well as excellent communication and planning skills.
Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design.
Understanding of dense datacenter design including compute, Storage and networking.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

LinuxScriptingOS KernelsSystem EngineeringEmbedded SystemsOrchestration SystemsAutomation SystemsData Center ArchitectureCloud ArchitectureProduct Engineering

Soft Skills

CommunicationPlanningProblem-SolvingCollaboration

Certifications

Bachelor's Degree in Computer ScienceMaster's Degree in Software Engineering