Autonomy Engineering Specialist

Caterpillar Inc.•Irving, TX

1d•$128,470 - $208,770•Onsite

About The Position

The Autonomy Engineering Specialist leads the end-to-end design, integration, validation, and deployment of Edge AI solutions across Caterpillar's machine portfolio, ensuring they integrate seamlessly with each machine platform. The role works across L6 Machine and Autonomy Systems, electrical, hardware, software, and cybersecurity teams to deliver reliable, secure, and scalable solutions throughout the product lifecycle. The position provides people and technical leadership in system integration and software development to advance the enterprise machine and edge AI compute feature strategy. It is based onsite five days per week in Irving, Texas, and requires 10% travel. Relocation assistance may be available under Caterpillar policies. Visa sponsorship is unavailable.

Requirements

Knowledge of effective presentation tools and techniques, and ability to simplify complex technical concepts for the audience.
Knowledge of problem-solving approaches, tools, and techniques, and ability to apply them to diverse situations.
Knowledge of embedded systems and their applications, and ability to develop embedded systems that control machine operations.
Knowledge of requirements-analysis tools, methods, and techniques, and ability to elicit, analyze, and record business functionality and non-functionality requirements.

Nice To Haves

Ability to approach communication challenges from various angles based on the audience.
Experience and knowledge of embedded systems and multi-system integration.
Involvement with NPI deployment in machine programs.
Ability to resolve critical or wide-impact problems using standard problem-solving practices, tools, and processes.
Strong communication skills.

Responsibilities

Lead product group adoption of Edge AI solutions and ensure standardized physical and software interfaces align with product group software releases.
Develop system requirements, interface definitions, and functional specifications for integration between edge systems and Machine Software.
Translate customer, regulatory, and business requirements into technical system solutions.
Define clear integration strategies and support product group alignment and adoption.
Drive improvements that enable system teams to effectively deploy and manage edge AI-based features.
Plan and track system-level testing, validation, and verification of integrated Machine and edge AI features.
Support vehicle- and machine-level integration testing across lab, bench, and field environments.
Improve machine and edge AI feature integration using field data and customer feedback.
Provide people and technical leadership in system integration and software development to advance the enterprise machine and edge AI compute feature strategy.
Communicate program status and development timing to stakeholders and product teams.