AI Empowerment & Custom Solutions Engineer consulting on AI to enhance productivity and efficiency for clients. Conducting workshops and identifying AI use cases in client environments.
About the role
- Solutions Architect managing Rack Scale AI Systems for NVIDIA's cloud infrastructure team. Collaborating with multi-functional teams to deliver robust cloud solutions for modern computing challenges.
Responsibilities
- 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
- equity
- benefits
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