Solution Architect, SAE

NVIDIA’s Platform has already made a major impact to the field and is broadly used across leading Industry’s, including the world’s largest Internet companies. Our success has been based on laser-focused industry vertical business development, building a strong developer ecosystem and scaling out the business using a partner channel and creative marketing. We need passionate, hard-working and creative people to help us pursue more of these rare opportunities.

We are now looking for a Solution Architect to focus on End to End Infrastructure, Starting from Data Centre’s, Solution Designs, Deep Learning, Machine Learning, and Accelerated Analytics, solutions to work with our teams in India, Bangalore. If this role sounds exciting, we should talk. Today, NVIDIA is acknowledged as the world leader in AI Accelerated computing. As a Solution Architect working at NVIDIA, you will work closely with multiple Customers across the country - establishing relationships, solving problems and helping them build successful NVIDIA solutions.

What You’ll Be Doing:

- Assist field business development in guiding the customer through the sales process for NVIDIA Products, owning the technical relationship and assisting customers in building innovative solutions based on NVIDIA Platforms

- Be an industry thought leader on integrating NVIDIA technology into multiple architectures to support AI at scale.

- An SME for large scale Software and Hardware Solution Design across AI & Cloud Solutions.

What We Need To See:

- B. Tech. or MS in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.

- 8+ years of work-related experience in Solution Designing for Deep Learning, high-performance computing and Cloud.

- Extensive Experience working with DevOps including but not limited to Docker/Containers, Kubernetes, and datacentre deployments.

- Excellent Pre-sales experience on Network, Cloud, Big-data/Analytics sizing, Large Scale Enterprise Solutions and RFP experience with the regional customers

- Software experience with modern, AI & Cloud Stack, Deep Learning software architecture and frameworks is recommended.

- Deep understanding of dense datacentre design components including MEP, compute, storage and networking.