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Embedded Engineer

in 80331, München, Bayern, Deutschland
Unternehmen: Qwello
Vollzeit position
Verfasst am 2026-08-04
Berufliche Spezialisierung:
  • Software Entwicklung
    Python, Software-Ingenieur, DevOps Ingenieur, Cloud-Ingenieur - Software
Gehalts-/Lohnspanne oder Branchenbenchmark: 70000 - 110000 EUR pro Jahr EUR 70000.00 110000.00 YEAR
Stellenbeschreibung

Our mission at Qwello is to revolutionise the charging industry, we are committed to turn the world from combustion to electric. 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!

To reach our goal we are looking for an Embedded Engineer to help us develop software (Rust/Python/C) on our charging stations and cloud infrastructure. At Qwello, you will be responsible for high quality, low bug design & implementation and understand that our stations are far away from home, on a slow network connection and potentially hard to physically get to. Therefore you design for resilience, remote introspection & telemetry first and keep an IOT frame of mind at all times.

Security is important to you. You are an efficient engineer, focused on fast execution of your craft.

Let's power the future together!

Your Responsibilities
  • Write software (Rust/Python/C) for our charging stations & cloud infrastructure
  • Design and implement cloud/IoT system architectures
  • Ensure our stations' high uptime by improving the monitoring and testing of our station’s software
  • Improving our CI deployment/testing pipeline
  • Debug HW/SW issues on our charging stations
  • Develop HW/SW solutions to automate testing of our hardware
Your Profile
  • We mostly write Rust with a tad of Python - so you should enjoy Rust and either be good at it or wanting to learn and be familiar with Python
  • Solid experience with architecting & implementing on premise systems, as well as automating testing of them
  • Embedded experience and/or low level programming languages experience, e.g microcontrollers, C/C++, Rust
  • Experience with cloud technologies (AWS, Terraform, Docker)
  • Experience with different network protocols (gRPC, MQTT, HTTP)
  • Bonus points for experience with build systems (Bazel/Yocto)
  • First hands on experience working with embedded hardware/software solutions
  • Ability to self-organise in an environment of changing priorities; willingness to work on multiple tasks/content switching
  • Fluency in English, German language knowledge is a plus
Your Benefits
  • Flat hierarchies with an efficient decision-making processes without red tape
  • The opportunity to play a key role in shaping the mobility revolution
  • Be part of an international and dynamic team of more than 30 nationalities
  • Enjoy a hybrid setup based in our Munich office, with 1-2 days on-site per week and flexibility to work remotely the rest of the time — plus the possibility of workation within the EU and 30 vacation days
  • Regular company and team events outside of the office to disconnect from our computers and reconnect with colleagues on hikes, mountain e-bike tours, offsites and more
  • Personal and professional development through in-house lunch & learn sessions, collaborative discussions, as well as externally provided training, courses and conferences
  • Discounted access to Wellpass for comprehensive wellbeing support—enjoy fitness, wellness, and mindfulness options to help you stay balanced and energized
Equal Opportunities

We strive to eliminate discrimination, remove barriers and ensure equal opportunity through a transparent recruitment process. We are fully committed to fostering an inclusive and respectful work environment where everyone can succeed. At Qwello everyone is welcomed regardless of cultural background, creed, race, sexual orientation, colour orgender expression.

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.

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