Solutions Architect - Cloud Providers and Hyperscale

Details

We are now looking for a Solutions Architect! NVIDIA is searching for Solutions Architect with expertise in AI, Machine Learning, and HPC for Hyperscale and Cloud Providers focus. Primary responsibilities will be to lead technical engagements with customers as they integrate, optimize, and apply NVIDIA’s hardware and software technologies.

Would you like to collaborate with some of the biggest companies developing brand new AI solutions by applying both NVIDIA and cloud technologies? Interested in broadening your skills in building robust AI pipelines and deployment of large-scale AI models in the cloud? Then read on.

Responsibilities

• Lead on NVIDIA software products within a focused account team, assisting large customers and cloud providers in developing new workflows using NVIDIA technologies (hardware and software).
• Work closely with outstanding engineering and product teams to tackle tough problems and bring NVIDIA solutions to market in customer products and workflows.
• Become a trusted advisor for the customer by understanding their environment, constraints, and business models and then translating those into product requirements and solutions to solve their problems applying NVIDIA technologies.
• Conduct regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, and debugging sessions.
• Work with customers to build PoCs for solutions to address critical business needs.
• Prepare and deliver technical content to customers including presentations, workshops, etc.

Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
• Motivation and skills to help drive technical pre-sales activities.
• 5+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
• Familiarity (work experience) with Python, scripting, etc.
• Familiarity with AI frameworks.
• Effective time management and capable of balancing multiple tasks.
• Ability to communicate ideas clearly through documents, presentations, etc.

Ways to stand out from the crowd:

• External customer facing skill-set and background.
• Hands-on experience developing AI applications using NVIDIA technologies (GPUs and/or software).
• Cloud experience (applying cloud concepts like Database, etc. in developing workflows for customer use cases).
• Hands-on experience with GPU systems in general including but not limited to AI workflow development, performance development, AI benchmarking, etc.