Embedded Software Senior Engineering Specialist - AI

Position Overview

Create and deploy AI‑centered solutions for embedded devices and systems development workflows. Responsibilities include gathering user requirements, designing, implementing, testing, and reviewing software, communicating adoption strategies, managing priorities, teaching, training, evaluating AI systems and deployment architectures.

• Gather and analyse user/client requirements
• Design, implement, create, test and 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

• Bachelor’s degree in Computer Engineering, Electrical Engineering or Computer Science

• Experience with AI technology development
• Experience with 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 Google Test and Py Test
• 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

• 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

• Position is onsite five days per week
• Domestic relocation is available
• Travel expected 10‑15%
• Visa sponsorship not available for this position

$ – $ (subject to market and individual factors)

• Medical, dental and vision benefits*
• Paid time off (vacation, holidays, volunteer)
• 401(k) savings plans
• Health Savings Account (HSA)
• Flexible Spending Accounts (FSAs)
• Health Lifestyle Programs
• Employee Assistance Program
• Voluntary benefits and employee discounts
• Career development opportunities
• Incentive bonus
• Disability benefits
• Life Insurance
• Parental leave
• Adoption benefits
• Tuition reimbursement
• Benefits also apply to part‑time employees

* Subject to plan eligibility, terms, and guidelines.

Caterpillar is an Equal Opportunity Employer, including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.

Any offer of employment is conditioned upon the successful completion of a drug screen.