Industrial Engineering Manager - Distribution Centers

Texas InstrumentsFort Worth, TX

About The Position

Texas Instruments is building the next generation of intelligent, self-optimizing operations, from wafer fabs to global distribution. As part of our Smart Manufacturing efforts, the Warehouse Automation Architect will define and deliver the architecture for increasingly autonomous warehouse ecosystems. This role is responsible for designing, integrating, and scaling advanced warehouse automation technologies, including robotics, intelligent material handling systems, real-time orchestration platforms, and AI-driven optimization layers, to enable resilient, high-throughput, and data-centric logistics operations. You will bridge physical automation, control systems, software platforms, and enterprise integration to create warehouses that continuously learn, adapt, and optimize.

Requirements

  • Designing, integrating, and scaling advanced warehouse automation technologies
  • Robotics
  • Intelligent material handling systems
  • Real-time orchestration platforms
  • AI-driven optimization layers
  • Bridging physical automation, control systems, software platforms, and enterprise integration
  • Scalable system blueprints covering robotics, AS/RS, conveyors, sortation, vision systems, and sensor networks
  • Integration frameworks between automation layers and enterprise platforms (WMS, WES, WCS, ERP, MES where applicable)
  • WMS enhancements
  • Autonomous Factory roadmap
  • Deployment of AMRs/AGVs, robotic picking systems, palletizing solutions, and automated storage systems
  • Fleet orchestration models and real-time control strategies
  • Machine vision and AI-enabled decision-making
  • Emerging robotics and automation vendors
  • API-based integrations between automation hardware, control systems, and enterprise software
  • Real-time data pipelines and telemetry standards
  • Industrial IoT connectivity and event-driven architectures
  • Digital twins for warehouse flow simulation and optimization
  • Predictive maintenance frameworks
  • AI-driven task orchestration and intelligent routing
  • Performance monitoring dashboards and KPI analytics
  • Adaptive optimization and autonomous decision-making
  • System implementation, testing, commissioning, and go-live support
  • Automation standards, cybersecurity requirements, and documentation frameworks
  • Compliance with safety, industrial, and regulatory standards
  • Lifecycle management and upgrade strategies
  • Partnership with Supply Chain, IT, Operations, Facilities, and external integrators
  • Mentoring engineers and automation specialists
  • Influencing automation investment strategy and technology roadmap

Responsibilities

  • Define the long-term automation architecture for TI’s warehouse and distribution operations
  • Develop scalable system blueprints covering robotics, AS/RS, conveyors, sortation, vision systems, and sensor networks
  • Establish integration frameworks between automation layers and enterprise platforms (WMS, WES, WCS, ERP, MES where applicable)
  • Active participation and collaboration with IT to design & implement WMS enhancements
  • Create reference architectures that align with TI’s broader Autonomous Factory roadmap
  • Lead deployment of AMRs/AGVs, robotic picking systems, palletizing solutions, and automated storage systems
  • Design fleet orchestration models and real-time control strategies
  • Incorporate machine vision and AI-enabled decision-making where applicable
  • Evaluate emerging robotics and automation vendors
  • Architect API-based integrations between automation hardware, control systems, and enterprise software
  • Define real-time data pipelines and telemetry standards
  • Enable Industrial IoT connectivity and event-driven architectures
  • Support development of digital twins for warehouse flow simulation and optimization
  • Integrate predictive maintenance frameworks
  • Enable AI-driven task orchestration and intelligent routing
  • Implement performance monitoring dashboards and KPI analytics
  • Identify opportunities for adaptive optimization and autonomous decision-making
  • Oversee system implementation, testing, commissioning, and go-live support
  • Establish automation standards, cybersecurity requirements, and documentation frameworks
  • Ensure compliance with safety, industrial, and regulatory standards
  • Define lifecycle management and upgrade strategies
  • Partner with Supply Chain, IT, Operations, Facilities, and external integrators
  • Mentor engineers and automation specialists
  • Influence automation investment strategy and technology roadmap

Benefits

  • Competitive pay and benefits designed to help you and your family live your best life.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service