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Validation Engineer
il y a 4 semaines
Your Future Tasks
As a Validation Engineer with experience in ADAS and chassis systems, you will:
- Define specifications for CAN data recordings.
- Configure vehicles for data recording.
- Collect CAN data from fleet tests.
- Integrate CAN data into a centralized database.
- Verify and validate collected data.
- Develop validation algorithms based on CAN data.
- Execute validation tests on vehicles.
- Analyze results of validation tests.
- Write validation reports.
- Competitive compensation package
- Your education doesn't have to stop We offer extensive training & learning opportunities
- Structured career progression - at Reply we encourage career growth
- We have a start-up heart. Guaranteed hands-on experience, flexibility, vibrant work environment and free coffee
- We dream worldwide. We have the structure to make your ideas matter. We partner with major groups over 4 continents
- Diverse and dynamic work environment - you'll be surrounded by peers and enthusiasts who share your passion for technology
- Opportunities to get involved in Hackathons, Code Challenges and Lab Camps
- Master's Degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, Automotive Engineering, or a similar field.
- Strong knowledge of ADAS and chassis systems.
- Strong knowledge of CAN systems.
- Experience with simulation tools (Simulink, Carmaker ).
- Experience in software development (MATLAB, Python ) and system integration.
- Experience in vehicle instrumentation and data collection.
- Strong skills in data analysis and validation.
- Excellent technical writing skills for reporting.
- Fluent in English; a good level of French will be highly regarded.
Autonomous Reply is a partner for software and system integration of Autonomous Things (AuT). We advise and support companies in the industrial, automotive, and new mobility sectors, from sensor technology to infrastructure. Our services include consulting, software development, and the integration of autonomous solutions. We focus on cutting-edge technologies and methods from the field of artificial intelligence (AI) and integrate subsystems and platforms. Our core topics include software development, model-based software, ROS applications, and edge computing. We also work with the world's leading providers in cloud infrastructure to deliver innovative and effective offboard solutions.
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