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Job Opening: Senior Embedded Software Engineer

Munisense

Munisense

Software Engineering
Posted on Oct 23, 2024

26/09/2024

Job Opening: Senior Embedded Software Engineer

Join Munisense as an Embedded Software Engineer

Our software development team is responsible for the entire product portfolio, from sensor (monitoring station) to cloud. You will be part of the team that works on the sensor side. The sensors are responsible for reliably measuring, storing and forwarding the sensor data to our platform.

Who are we?

Munisense is a Dutch, informal, growing, innovative company that delivers real-time insights into environmental sound levels and groundwater levels for both national and international clients. With over 9,000 water meters and 800 sound meters currently active, we empower managers and policymakers with the tools to monitor, analyze and manage the living environment remotely and intelligently through our cutting-edge hardware and cloud platform.

Who are we looking for?

We are looking for an experienced, professional Embedded Software Engineer to execute the complete embedded development lifecycle. We work with Rasberry Pi (Linux) based sensors and other embedded microcontrollers. Your focus will be on the Linux based part. A strong focus will be on quality (testing) and robustness of the software. Together with our hardware engineers, you will be creating new monitoring stations which more and more include machine learning capabilities for noise recognition.

Key responsibilities:

  • Design, develop, test and maintain firmware for our sensors, both Linux-based and embedded.
  • Collaborate with other (software) developers and product owner to move the product forward.
  • Taking ownership of the final firmware quality.
  • You structure your work and document the steps along the way.

Job requirements:

  • You have 5+ years of experience with (embedded) Linux software development.
  • You are experienced with programming for embedded systems and Linux systems (eg. raspberry Pi environments).
  • You are familiar with C, C++, Python and/or PHP.
  • You know the basics of machine learning.
  • You have experience in electronics and hardware development.
  • Bachelor’s (HBO) or University-level mindset

What you get:

  • Competitive Salary: Gross salary ranging from €4,000 to €5,500 per month (based on 40 hours per week), depending on your experience.
  • Work-Life Balance: 25 vacation days, hybrid working option, and the freedom to adjust your schedule when needed.
  • Flexible Working Hours: We usually work from 8:30 to 17:00 because we value close collaboration. However, there’s flexibility; if you work longer one day, you can leave earlier on another.
  • Pension Benefits: Facilitated pension account.
  • Learning & Development: You'll have access to time and budget for personal growth, whether that’s through training, courses, or attending conferences.
  • Team Spirit: Friday afternoon drinks and cross-departmental catch-ups, plus company events organized by our very own 'PartySquad'. Past activities include pub quizzes, karting, movie nights, sailing trips, and paintball.

Ready to apply?

If you're passionate about embedded software and want to contribute to the future of environmental monitoring, we want to hear from you! Apply before 1 November 2024 and be part of a company where your work truly matters. Please send us your CV and cover letter to jobs@munisense.com. We’ll get in touch with you as soon as possible to schedule an introductory meeting. During this conversation, we'll delve deeper into your experience, skills, and motivation for the role.

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We prefer to be in direct contact with our new colleague; acquisition in response to this vacancy is not appreciated.


About Munisense

Munisense develops, supplies and manages innovative measurement solutions for businesses and governments. Smart city solutions that give stakeholders direct online insight into noise, water quality and water levels. The information is available online at any time for visualization, analysis or periodic reports. Thus managers and policymakers can measure in real time; remote, reliable and smarter.