Computer Vision & Machine Learning Engineer, Engineering Center Cluj

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Employer: Bosch Romania
Domain:
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
    Location:
  • Cluj Napoca
  • Updated at: 27.12.2019
    Remote work: On-site

    Company Description

    Bosch Engineering Center Cluj was founded as an integral part of the Bosch worldwide engineering network in 2013. The Center is located partly in the heart of Cluj-Napoca and partly in Jucu. Our engineers give great importance to continuous innovation and they work on state-of-the-art technology projects. Automated Driving, Electric and Connected Mobility, Internet of Things, Industry 4.0. are just a few examples from the Bosch Engineering Center Cluj’s current portfolio. We work in close collaboration with other Bosch R&D Centers and with Bosch Plant Cluj. We specialize in software engineering, hardware and mechanical engineering, reliability engineering & quality validation, but also in mobility sales planning, thus, we offer our internal and external clients a complex range of products and services.  

    Qualifications

    Education:

    • Computer Science, Automation, Electronics and Telecommunications, Informatics, Mathematics or comparable;
    Know-how:
    • Good algorithms, data structures and software design background;
    • Experience with one object oriented programming language (preferable C/C++);
    • Know-how or willingness to learn more from one of the following fields: image processing, pattern recognition, computer vision, signal processing, control engineering, machine learning, artificial intelligence, numerical methods, computational geometry etc;
    Personality:
    • Motivation and commitment to get involved, learn and contribute to the development of leading edge technologies in collaboration with a global network of experts;
    • Good communication, strong analytical skills, team oriented, initiative, perseverance and attention to details;
    • Self-organized and able to estimate, prioritize and schedule own tasks.
    • Target and quality orientation;

    Languages spoken:

    • Fluent in English; German can be an advantage;

    Advantages if you have

    • Experience with developing automated driving systems;
    • Computer vision, image processing, machine learning or deep learning experience;
    • Experience with software design on embedded systems;
    • Knowledge of embedded software optimization and parallelization (ex: NEON, DSP) for real-time performance;
    • Experience with programming in Python or Matlab;
    • Software documentation, tracking (ex: Jira) and versioning tools;
    • Automotive SPICE and ISO26262;


    Additional Information

    #LikeABosch Benefits:

    o 25 days of annual leave, because work-life balance is essential to us;
    o Flexible working hours, but if you want to work 5 days per month from somewhere else, feel free, our Home Office program helps you do that;
    o Lunch discounts and daily subsidies at our canteen/restaurant;
    o Private medical insurance, because your health is a priority to us;
    o Flexible benefits - On top of your salary, we offer you a monthly budget via your benefit account, which can be used for several different services;
    o Annual performance bonus;
    o Internal development Trainings - we have local development programs for Project Managers, Line Managers and Experts;
    o Inspiring working conditions;

    Job Description

    • Develop software, computer vision and machine learning algorithms for video based driver assistance systems and automated driving;
    • Implement and optimize real-time embedded mono and stereo video processing technologies based on innovative computer vision (ex: stereovision and structure from motion, 3D reconstruction, projective geometry, numerical methods, 3D data processing and tracking, camera calibration) and artificial intelligence methods (ex: machine learning for objects detection and classification, scene segmentation);
    • Specification and development of performance evaluation methods on large data-sets;
    • Evaluate and validate results using offline automatic simulation frameworks as well as using Bosch test vehicles;