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    IoT Engineer - Munich, Deutschland - ANGEHEUERT GmbH

    ANGEHEUERT GmbH
    Default job background
    CDI
    Beschreibung

    Tired of paper tickets, parking disks and barriers? Ready for new challenges as an IoT Engineer?

    Our customer offers digital solutions for parking space management using mobile payment options. Their infrastructures allow individual solutions for parking garages, parking areas and underground garages. Ordinary parking lots become modern mobility hubs of the future

    Support their team in Munich as an IoT Engineer.


    Your Benefits

    • First things first: You can expect a monthly salary of at least €5000.
    • Brand new office in Munich, equipped with wide-curved screens and standing/moving desks.
    • Team culture is very important: That's why they're happy for you to work from the office at least 3 days a week.
    • Trust is the basis for good cooperation: 40h/week full-time including flexible working hours.
    • They believe in you and your potential. A wide range of opportunities and freedom for professional development are offered – for example German language courses.
    • You will be part of the development of an innovative product and a mix of exciting and challenging projects.
    • Good performance requires good equipment – that's why you get high-quality IT equipment such as a MacBook.
    • Your meals are taken care of: daily meal allowance, free weekly team lunch, drinks, fruit, coffee, snacks and more.
    • Regular team events & unbeatable BBQs on the terrace with 360° views of the city and the Alps.
    • Your health is important, so you will receive EGYM Wellpass or Urban Sports Club membership, job bike leasing, a company pension plan and 28 vacation days per year.
    • A fast-growing company with start-up flair: short communication and decision-making channels, an informal culture from intern to CEO, open doors, highly motivated and helpful colleagues.




    Your Tasks

    As an IoT Engineer, you will take on a pivotal role in enhancing our ALPR technology and optimizing our operational frameworks. This role involves complex problem-solving and innovative system integration without delving into the specifics of our unannounced projects.

    Key Responsibilities as an IoT Engineer:

    • Advanced System Integration: Enhance system connectivity and functionality using a variety of components like embedded devices.
    • Machine Learning Implementation: Utilize machine learning algorithms to improve the precision and efficiency of real-time data processing systems.
    • Data Management: Handle large sets of data to refine algorithms and improve the functionality of our systems.
    • Project Management: Oversee projects from conceptualization to execution in the IoT Domain, ensuring they align with strategic company goals.
    • Collaborative Development: Work closely with other engineers and stakeholders to maintain high standards of quality and innovation.

    Your Profile

    Educational Background: Master's degree in Electrical Engineering, Computer Science, or related field with a strong emphasis on Machine Learning and embedded devices.

    • Relevant Experience:
      • Experience in IoT device integration and management.
      • Skilled in applying Machine Learning and Data Science to solve practical problems.
    • Technical Skills:
      • Proficient in software development for edge computing devices.
      • Knowledgeable in network security and data protection.
      • Effective at hardware and software troubleshooting.
      • Experience with C++, Typescript, Python, PyTorch, AWS Greengrass / AWS IoT Core or similar device fleet management approaches.
    • Soft Skills:
      • Excellent communication in English.
      • Leadership abilities and a collaborative spirit.
      • Problem-solving mindset and innovative thinking.

    Do you want to be part of the success story and contribute to the expansion of modern mobility? Would you like to help increase the team's productivity? Then apply today

    We'll give you all the details in an initial phone call.



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