This role is for an Application Architect focused on applying autonomy technology to new haulage equipment at Caterpillar. The candidate will lead a team in developing and releasing autonomous and remote-control solutions, involving system design, implementation, and troubleshooting within the Caterpillar Command ecosystem.

Engineering Manager for IAM Platform focusing on Ops, SRE, and AI Enablement. The role involves managing the identity infrastructure, implementing SRE principles, driving automation, and integrating AI/ML for threat detection and access control. The team will explore and implement intelligent solutions for automated threat detection, risk-based access control, and streamlining governance processes.

The Autonomy Validation Engineer role at Caterpillar focuses on testing and validation of robotics software for autonomous machines. This involves writing and executing test plans, debugging issues, and collaborating with engineers to ensure client needs are met. The role requires a degree in engineering or computer science and involves hands-on testing of machines in the field.

This role is for a Sr. Engineering Specialist in Caterpillar's BCP Advanced Tech Group, focusing on identifying, testing, and proof-of-concept for new technologies related to autonomy, operator assist systems, controls, and embedded software. The candidate will provide technical leadership in designing advanced control systems, integrating electrical and mechanical systems, and implementing software/algorithms for electro-mechanical systems. A key aspect is understanding AI's impact on embedded automation software, perception, and planning systems, and staying abreast of regulatory environments for mobile equipment automation.

This role focuses on architecting and implementing high-fidelity digital twins for systems, machines, and job sites, translating business needs into scalable simulation architectures. It involves defining strategy, developing roadmaps, creating architecture deliverables, and determining supporting infrastructure, with a strong emphasis on NVIDIA Omniverse and integrating various simulation technologies, including machine learning-based simulations.