AI Engineer for Virtual Sensors Development

Your Future Tasks

• Design and Development: Contribute to the design and development of virtual sensors for

automotive applications, including static and dynamic mass estimation, wheel adhesion

detection, and motor identification.

• Algorithm Creation: Develop and implement state estimation algorithms and AI-based sensor

fusion techniques to enhance the accuracy and reliability of virtual sensors.

• Prototyping: Build and test prototypes of virtual sensors, ensuring they meet performance

and reliability standards.

• System Integration: Integrate developed sensors into the vehicle's existing systems, ensuring

seamless operation and compatibility.

• Testing and Validation: Conduct extensive testing and validation of sensors in both simulated

and real-world environments, documenting results and refining designs as necessary.

• Collaboration: Work closely with cross-functional teams including software engineers,

hardware engineers, and data scientists to develop innovative sensor solutions.

What we Offer

• 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

You Have

• Educational Background: PhD in Computer Science, Robotics, Mechatronics, or a related field.

• Experience in AI and Machine Learning: Strong background in developing machine learning

and AI algorithms, particularly for sensor fusion and state estimation.

• Deep Learning Frameworks: Proficiency with deep learning frameworks such as TensorFlow,

PyTorch, and Keras.

• Sensor Fusion Techniques: Expertise in developing and implementing sensor fusion

algorithms to combine data from multiple sensors.

• Embedded Systems: Experience in embedded software development using MATLAB, C/C++

and Python.

• Communication Skills: Fluent in English; a good level of French will be highly regarded