Caterpillar

HQ
Irving
Total Offices: 8
100,000 Total Employees
Year Founded: 1925
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Caterpillar Offices

Caterpillar is headquartered in Irving and has 8 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible

U.S. Office Locations

HQ Irving Broomfield Chicago Peoria

Global Office Locations

Chennai Geneva Bengaluru Košice
HQ

Irving

Irving, TX, United States

Jobs At This Office

Broomfield

Broomfield, CO, United States

Chennai

Chennai, India

Chicago

In the heart of Chicago's lively West Loop area, we have easy access to public transport, great bars and restaurants, and an awesome office roof deck.

Jobs At This Office

Geneva

Geneva, Switzerland

India

Košice

Košice, Slovakia

Peoria

Peoria, IL, United States, 61629

Jobs At This Office

Recently posted jobs

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Caterpillar

Lead Digital Architect

4 Hours AgoSaved
Hybrid
Chicago, IL, USA
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Own and define end-to-end solution and platform architectures for large-scale distributed systems. Ensure scalability, performance, resilience, and security; partner with business and engineering teams; evaluate and introduce technologies; enforce standards; mentor engineers; produce architecture documentation; and evolve platforms for reliability, cost efficiency, and developer productivity.
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Lead the Cybersecurity team focusing on SIEM, detection, and security analytics, driving strategy, execution, and cross-department collaboration to ensure improved security operations and compliance management.
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Caterpillar

Principal Data Architect

4 Hours AgoSaved
Hybrid
Irving, TX, USA
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Define enterprise data architecture, canonical models, and data products to enable AI and autonomy. Lead design of large-scale cloud and on‑prem data platforms, streaming/telemetry pipelines, edge-to-cloud integration, and reusable datasets for model development. Influence technical strategy, standards, and cross-functional delivery to accelerate AI model training, validation, and deployment.
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