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Embedded Software Engineer - AI Focus

Job in Appleton, Outagamie County, Wisconsin, 54914, USA
Listing for: Miller Electric Mfg. LLC
Full Time position
Listed on 2026-09-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Embedded Systems/ Firmware/ IoT, Software Engineer, Software Testing
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

Embedded Software Engineer — AI-Enabled Development

We build the embedded software that runs digitally controlled welding equipment—and we're changing how that software gets built. We're looking for an experienced embedded software engineer who wants to do more than write great C/C++ code. You’ll help us figure out what modern, AI-enabled embedded development looks like when the software has to run in real time, on real hardware, in products people depend on.

This is an onsite position located in Appleton, WI. We will relocate the right candidate.

This Is You If
  • You write embedded C/C++ where correctness matters, real-time behavior matters, and the code has to survive long after the original project ships.
  • You believe AI is fundamentally changing how great software gets engineered—and you want to help shape that change rather than watch it happen.
  • You have hands‑on experience with AI coding assistants, agentic workflows, automated test generation, or similar tools, and you're curious about what comes next.
  • You want to pioneer practical AI-assisted development on a real embedded product team, learn what actually works, and help turn those lessons into better practices for everyone.
  • You're comfortable operating without a finished playbook. Some of what we're building doesn't exist yet, and that's part of the opportunity.
  • You care about the long game: shipping something useful today while continuously moving the architecture, tooling, and codebase toward something better tomorrow.
  • You enjoy making the engineers around you better—not just through what you build, but through what you teach, document, automate, and improve.
This Probably Isn't You If
  • You need every requirement and solution handed to you before you can get started.
  • You avoid refactoring because "it works" is good enough.
  • You see AI as someone else's job—or something you'd rather keep out of your development workflow.
  • You prefer optimizing your own output over improving how the entire team builds software.
The Role
  • Software is a core competency at ITW Welding. Our digitally controlled welding equipment combines embedded systems, control algorithms, electronics, and software to deliver increasingly sophisticated products.
  • You'll join our five‑person Software Technology Platforms team as an experienced embedded software engineer and help push that capability forward.
  • Your primary job is still what you'd expect: design, build, test, debug, and improve reliable embedded software.
  • But you'll have an additional mission: help us discover how AI can make embedded engineering better.
  • That means experimenting with AI‑assisted development, evaluating new tools and workflows, applying them to real engineering problems, and helping the team turn successful experiments into repeatable practices. You'll help us use AI to accelerate development, find problems earlier, improve test coverage, preserve engineering knowledge, and make our software easier to maintain.
  • We're not looking for someone to blindly adopt whatever the newest AI tool happens to be. We're looking for an engineer who can ask a better question:
  • "Where can AI genuinely make us better engineers—and how do we do it responsibly?"
  • You won't be handed a finished playbook. You'll help write it.
What You'll Do
  • Pioneer, evaluate, and evolve AI‑assisted development workflows for embedded software, including coding assistance, agentic workflows, test generation, documentation, and other emerging capabilities.
  • Design, develop, test, troubleshoot, and document embedded software across multiple hardware platforms.
  • Write efficient, reliable, maintainable C/C++ for hardware control, algorithms, communications, and real‑time systems.
  • Apply AI tools to real engineering problems while maintaining engineering judgment, code quality, security, and trustworthiness.
  • Explore emerging AI and software‑development technologies and translate the useful ones into practical improvements for the team.
  • Identify opportunities to improve our development process, tooling, architecture, and engineering practices—and help turn good ideas into working solutions.
  • Build and curate shared first‑party and third‑party software libraries that other…
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