Driver Monitoring Research Engineer (m/f)

Sv. Nedelja, Croatia


Rimac Automobili is a technology powerhouse, manufacturing electric hypercars and providing full tech solutions to global automotive manufacturers. Our teams develop and produce both hardware and software solutions for the Concept_One and C_Two as well as numerous public and confidential projects, thus positioning Rimac as a leader in the high-performance electric vehicle industry.

We always wanted to be more than just a place to work. What we do and how all of our team members feel is meaningful to us and we want each to feel like part of a big family.

We are currently expanding our Autonomous Driving Dept. and are looking for a Driver Monitoring Research Engineer who will part in creating the exciting autonomous and electric future.


1. Responsibilities

    • Contribute to the R&D of Driver Monitoring systems
    • R&D in driver drowsiness detection
    • R&D in detection of driver's stress, attention loss, etc.
    • Test and validate algorithms in simulation and real-car driving


2. Requirements

    • PhD or MSc. or Dipl. Eng. in Signal Processing, or related field
    • Ideally some knowledge of human physiological parameters sensing and processing
    • Strong skills in Machine Learning and nonlinear statistical signal processing
    • Strong C/C++ skills
    • Familiar with Matlab/Simulink and/or Python
    • Familiar with Linux environment
    • Strong-problem solving, analytical, teamwork, self-motivated
    • Excellent oral and written communication skills in English


3. What we offer

    • The opportunity to develop world-class solutions with cutting-edge technology, from scratch!
    • Family-like and open work environment
    • Courageous, curious and entrepreneurial team members to work with
    • Competitive compensation package
    • Financial support for accommodation and transportation
    • Dog-friendly office


We thank all those who submit applications for this role. All of our applicants will be provided with equal opportunities regardless of their age, sex, race, disability, sexual orientation, disability, culture or any other non-work related personal characteristic. All applications will be considered under the terms and conditions of confidentiality in accordance with the regulations of personal data protection.


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