Computer Vision Machine Learning Engineer, Engineering Center Cluj

Employer: Bosch Romania
Domain:
  • IT Software
  • Job type: full-time
    Job level: Student/Graduate
    Location:
  • Cluj Napoca
  • Updated at: 16.11.2019

    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;