Nvidia Solutions Architect - AI HPC Cloud 

United States, California 

933757184

What you'll be doing:

• Work with NVIDIA Product Teams to understand new product requirements including HPC and AI/ML 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.

• 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.

• Directly contribute to the overall quality of deployments and improve time to market next gen products.

• Integrate and Optimize Cluster Deployment methods and manage SW stack deployments, including provisioning these services into the cloud.

What we need to see:

• Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.

• 10+ years of relevant experience.

• 5+ 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.

Ways to stand out from the crowd:

• Understanding of software engineering principles and enterprise system architecture with an automate and Scale approach.

• Experienced with compute clusters administration, automation as well as experience with productivity tools and process automation is big plus

• Experience in large scale QA environments, for product bring ups.

• Special skills in large-scale computing and cluster computing (MPI), data center design include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.

• Strong background on Windows & Linux administration.