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About the role
Change the world. Love your job.
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.
Key Responsibilities
- Architecture & Strategy
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
- Robotics & Intelligent Systems
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
- Software Integration & Digital Infrastructure
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
- AI, Analytics & 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
- Deployment & Governance
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
- Cross-Functional Leadership
Partner with Supply Chain, IT, Operations, Facilities, and external integrators
Mentor engineers and automation specialists
Influence automation investment strategy and technology roadmap
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