About the job
We are seeking driven, high-energy, engineers to join the Solutions Architecture team in building Artificial Intelligence (AI) solutions with the world’s largest customers. This dynamic role requires excellent technical and interpersonal skills to analyze, define, implement and optimize AI/ML and HPC software and system solutions at hyperscale.
Responsibilities
Develop and demonstrate AI software and hardware solutions with Hyperscalers
Build customers’ trust and understand their unique needs
Be the go-to technical resource for customers building complex infrastructure as well as help them understand performance characteristics for the best solution
Partner with Sales or Developer Relations and Product team to identify and secure business opportunities for NVIDIA products and solutions.
Conduct technical meetings for project/product details, feature discussions, and debugging sessions
Develop Proof of Concept (PoC) solutions for critical business needs
Prepare and deliver technical presentations and workshops to customers
Address and optimize customer AI systems performance issues
Qualifications
Minimum
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other equivalent engineering fields (or equivalent experience)
5+ years of Solutions Engineering or similar experience in AI-related fields
Passion for enhancing customer experience
Proficiency in AI, ML and HPC applications
Comprehensive knowledge of computer system architecture including PCIe, networking, etc and their impact on AI application performance
Experience in designing, running and troubleshooting performance benchmarks for AI systems including GPU and multi-node systems
Ability to work independently and manage multiple priorities
Excellent communication skills to act as a trusted advisor to customers
Preferred
Unique combination of strong interpersonal skills and technical proficiency
In-depth knowledge and hands-on experience with ML/DL/AI including performance testing
Background with NVIDIA hardware and software along with practical Experience with GPU systems
Experience working with or calling on Cloud Service Providers (e.g., Meta)
Highlight external customer-facing skills and experience