Embedded Software Senior Engineering Specialist - AI

Caterpillar Inc.•Mossville, IL

1d•$147,760 - $221,640•Onsite

About The Position

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Develops, designs, implements, deploys and tests AI centered solutions for embedded devices and systems development workflows.

Requirements

Bachelor’s degree in Computer Engineering, Electrical Engineering or Computer Science
Experience with AI technology development
Large Language Models, prompt engineering, retrieval-augmented generation (RAG), MCP and agentic workflows
Experience with embedded C, C++ and Python
Experience with software test frameworks, such as GoogleTest and PyTest
Experience with version control systems, such as Git
Experience with object-oriented design
Experience with debuggers (Lauterbach/GDB)
Experience with architecture and design across multiple products or systems
Ability to evaluate software architecture alternatives and articulate tradeoffs
Experience with system design for embedded, cloud, and API-based solutions
Ability to estimate cost and effort for proposed designs
Experience facilitating design reviews and walkthroughs
Experience leading requirements gathering and documentation
Ability to drive requirement analysis activities from discovery through deliverables
Experience translating user needs into technical specifications
Experience with alternative troubleshooting approaches across hardware, software and communications systems
Ability to lead resolution of complex, multi-component failures
Experience developing troubleshooting standards and best practices
Experience diagnosing non-recurring and performance-related problems
Ability to communicate technical information effectively with team members
Ability to host and participate in community practice for engineering communities
Ability to work with a cross-functional team across different disciplines

Nice To Haves

Master's Degree in Computer Engineering, Electrical Engineering or Computer Science
Experience with RTOS systems (AUTOSAR standard)
Experience with Linux systems (ROS2)
Experience with functional safety standards
Experience with Virtual Product Development process/tools
Experience with acquisition tools (Vector Canape, Vector Canalyzer, Wireshark)
Experience with datalinks, such as CAN and Ethernet
Experience with cloud platforms, such as AWS, Azure or Google Cloud
Experience with containerization and orchestration tools, such as Docker and Kubernetes

Responsibilities

Gather and analyze user/client requirements to create AI centered solutions
Design/implement/create/test/review software for AI centered solutions within a development team
Develop and execute communication strategies for AI tool adoption across engineering teams
Manage priorities within the development team
Teach and assist developers within the team
Train and support end users on AI tools and developed solutions
Evaluate AI systems and tools
Evaluate and select appropriate AI deployment architectures (cloud, on-premise, edge) based on system requirements and constraints