Warehouse Automation Architect

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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

1. Architecture & Strategy

1. Define the long-term automation architecture for TIs warehouse and distribution operations
2. Develop scalable system blueprints covering robotics AS/RS conveyors sortation vision systems and sensor networks
3. Establish integration frameworks between automation layers and enterprise platforms (WMS WES WCS ERP MES where applicable)
4. Active participation and collaboration with IT to design & implement WMS enhancements
5. Create reference architectures that align with TIs broader Autonomous Factory roadmap

2. Robotics & Intelligent Systems

1. Lead deployment of AMRs/AGVs robotic picking systems palletizing solutions and automated storage systems
2. Design fleet orchestration models and real-time control strategies
3. Incorporate machine vision and AI-enabled decision-making where applicable
4. Evaluate emerging robotics and automation vendors

3. Software Integration & Digital Infrastructure

1. Architect API-based integrations between automation hardware control systems and enterprise software
2. Define real-time data pipelines and telemetry standards
3. Enable Industrial IoT connectivity and event-driven architectures
4. Support development of digital twins for warehouse flow simulation and optimization

4. AI Analytics & Optimization

1. Integrate predictive maintenance frameworks
2. Enable AI-driven task orchestration and intelligent routing
3. Implement performance monitoring dashboards and KPI analytics
4. Identify opportunities for adaptive optimization and autonomous decision-making

5. Deployment & Governance

1. Oversee system implementation testing commissioning and go-live support
2. Establish automation standards cybersecurity requirements and documentation frameworks
3. Ensure compliance with safety industrial and regulatory standards
4. Define lifecycle management and upgrade strategies

6. Cross-Functional Leadership

1. Partner with Supply Chain IT Operations Facilities and external integrators
2. Mentor engineers and automation specialists
3. Influence automation investment strategy and technology roadmap

Why This Role Matters

TIs automation journey extends beyond the fab. Our warehouses and distribution centers are critical nodes in a global semiconductor supply chain. This role will help shape an integrated intelligent logistics backbone that supports TIs long-term growth resilience and operational excellence.

Required Qualifications

1. Bachelors or Masters degree in Electrical Mechanical Robotics Systems Industrial or Computer Engineering
2. 8 years of experience in warehouse automation robotics systems or industrial automation architecture
3. Proven experience integrating automation systems with WMS/WES/WCS and enterprise platforms
4. Technical understanding of industry leading warehouse management systems (SAP EWM or Manhattan Associates)
5. Strong knowledge of robotics controls PLCs industrial networking and automation software
6. Experience leading multi-disciplinary technical deployments in operational environments

Preferred Qualifications

1. Experience with autonomous mobile robot fleet management
2. Machine vision and AI/ML applications in logistics
3. Industrial IoT architecture and real-time analytics platforms
4. Experience designing digital twins or simulation models (e.g. warehouse flow modeling)
5. Semiconductor or high-tech manufacturing supply chain experience

What Success Looks Like

1. Deployment of scalable standards-based warehouse automation architectures
2. Measurable improvements in throughput labor productivity accuracy and system uptime
3. Integration of intelligent orchestration and analytics layers
4. A roadmap toward increasingly autonomous warehouse operations