Embedded Firmware Engineer

Koch•Neenah, WI

About The Position

Join us as an Embedded Firmware Engineer designing and delivering firmware that powers next‑generation devices! You will turn concepts into reliable, low‑power products by developing firmware architectures, leading cross‑functional development efforts, and driving measurable improvements in product performance and customer experience. You will be part of the Devices team, a collaborative, cross‑disciplinary group of hardware, software, and project engineers focused on taking motorized, sensor‑driven systems from prototype to production. We move quickly, iterate often, and prioritize customer‑centric solutions.

Requirements

Bachelor’s degree in Engineering (electrical, electronics, computer, or software) or equivalent practical experience.
Proficient in C and C++ for embedded systems development.
1+ years' hands‑on experience with embedded microcontrollers and proven debugging/troubleshooting techniques.
Working knowledge of motor controls, power supplies, low‑power electronics, and wireless communications.
Experience managing code repositories with Git and documenting work in engineering lifecycle systems.

Nice To Haves

Experience developing on ARM Cortex‑M series microcontrollers.
Experience with real‑time operating systems (RTOS) in embedded devices.
Experience working in an agile project development environment.
Familiarity with automated unit testing and embedded testing frameworks.
Knowledge of multiple programming languages (e.g. C#, JavaScript, Object-Oriented Languages)

Responsibilities

Architect and deliver embedded firmware that enables reliable, low‑power devices and improves product performance and customer outcomes.
Translate product requirements into firmware designs and algorithms that reduce energy use, improve responsiveness, and simplify maintenance.
Lead cross‑functional efforts to integrate firmware with mechanical, electrical, and cloud/software components to accelerate time‑to‑market.
Define and execute verification strategies and test plans using statistical analysis to increase product quality and reduce field issues.
Drive multiple projects to completion on schedule while documenting architecture, decisions, and delivery artifacts in source control and lifecycle systems (e.g., Git, SAP).