Our mission at Qwello is to revolutionize the charging industry, we are committed to turn the world from combustion to electric. We put the customer first. We know their needs and deliver results they love. We design, build and operate charging infrastructure for the public space. We excel in simplicity, user focus and engineering excellence. We value diversity of thought, background and approaches and foster a culture of belonging. We understand that the best products are built by excellent teams, not individual superstars.
Be part of shaping the E-mobility of the future!
We are looking for an Engineering Manager to lead our Embedded team - the team that designs, builds and ships Qwello's AC charging stations, from circuit board to firmware to the production line. This is not a pure software management role. Your team of 6-8 spans embedded software, electrical engineering and mechanical engineering, and your scope runs from the firmware release train for thousands of chargers in the field, through EMC labs and Eichrecht certification audits, to the contract manufacturer's factory floor.
Our firmware is built on embedded Linux (Yocto) and EVerest, the open source EV charging stack we actively contribute to upstream. We are working with Rust, Python, C & C++. You will not be the deepest specialist in any one of these - your tech leads are - but you must be technical enough to represent the team when they are not in the room, to challenge estimates, and to make trade-offs between firmware, hardware and regulatory constraints with confidence and competence.
If you have led embedded or hardware-adjacent teams, enjoy being the person to which a factory, a certification body and a firmware engineer all escalate in the same week, and who brings the self-organization to keep all of it moving without dropping balls, we would love to talk.
Please Note: Tell us about a physical product you helped ship - what your team built, what went wrong on the way to production, and what your part in fixing it was.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
