AI Engineer

About this role

## Job highlights

• Typically requires a Bachelor s degree,preferably in computer science,Artificial Intelligence,Data Science,mathematics,or a similar field with quantitative coursework,and 4-5 years of professional experience utilizing quantitative analysis,a Master s degree and 2-3 years of experience.
• Required Skills
• Supervised,Unsupervised,Reinforcement learning experience is a plus).

Job Summary

Build the Digital Backbone of Modern Manufacturing. We are assembling a dynamic team to develop and scale our Manufacturing Supply Digital Platform-a next-generation software framework that transforms how manufacturing and supply operations connect, collaborate, and optimize. This platform is not an ERP system. It's a purpose-built digital layer that integrates data, processes, and resources across the entire manufacturing lifecycle-from design and engineering to production and distribution. This initiative is powered by NVIDIA technologies, including the Omniverse platform and AI computing capabilities, enabling immersive digital twins, accelerated simulation, and intelligent automation. You'll be part of a team that's not just building software-but shaping the future of how manufacturing works through AI-driven, collaborative, and scalable digital solutions.

As part of this initiative, you'll contribute to:

• System Integration: Seamlessly connecting diverse manufacturing and supply systems, data sources, and workflows into a unified digital ecosystem.
• Data-Driven Decision Making: Harnessing real-time data collection, analysis, and visualization to deliver actionable insights and operational intelligence.
• Automation Optimization: Driving efficiency through intelligent scheduling, AI Agents, predictive maintenance, and quality control-without replacing core transactional systems.
• Enhanced Collaboration: Enabling transparent communication and coordination across teams, functions, and geographies.

Key Responsibilities

• Build, integrat...