AI Engineer

• Provide a support to portfolio of technical solutions within a delivery channel focusing on HPC, AI and ML system and software tools. 
• Works with application, data, and infrastructure teams to produce optimal, high level, conceptual designs for projects. Supports enterprise level solutions that integrate across applications, systems, and platforms. 
• Manages changes in process, policy, and standards as they relate to the architecture and design principles. 
• Researches and maintains knowledge in emerging technologies and solutions to solve business problems. 
• Serves as a technical expert and critical resource across multiple disciplines.

Roles and Responsibilities:-

• Collaborate with internal stakeholders to understand future NVIDIA deployments to support project exigencies and improve DGX POD efficiency in a Kubernetes based platform.
• Review architecture of applications and supports technical design sessions with architects and developers, including the creation of class models, sequence diagrams, component models and design specifications.
• Creates project and application architecture deliverables that are consistent with architecture principles, standards, methodologies, and best practices. Researches and maintains knowledge in emerging technologies and possible application to the business. Designs and develops new tools to support Software Development Lifecycle (SDLC) processes.
• Serves as a liaison with the engineering team around required features, critical bugs, and testing of new functionality. Communicates implications of architectural decisions, issues and plans to business and IT Leadership. Provides input to the development of project initiation documents including objectives, scope, approach, and deliverables, when needed.
• Partners with ITS business representatives and business leaders to understand business drivers and critical needs. Ensures alignment between the business strategies and application technology roadmap while advising and consulting leadership on costs, benefits, and implementation requirements.
  • Supports team initiatives across functions with application triage, performance engineering, and testing activities. Assists in the troubleshooting and triage of complex applications issues. Provides support/guidance to development teams throughout the analysis, design, development, and testing processes. Resolves complex technical issues as needed to support solution development.