COMPREDICT
COMPREDICT is a company specializing in virtual sensor technology to transform vehicle data into actionable insights. Through purely software-based solutions, COMPREDICT enhances existing hardware with virtual sensors, enabling new measurement capabilities, vehicle health, and usage monitoring. Their platform is designed for vehicle OEMs, tier 1 suppliers, and fleet solution providers, offering predictive maintenance technology and optimizing component lifecycle. The company focuses on reducing the need for physical sensors, saving costs and improving the development process using AI and machine learning. With strategic partnerships, such as those with Renault and UTAC, COMPREDICT is at the forefront of advancing mobility through innovative data-driven solutions.
Machine Learning • Predictive Maintenance • Big Data • Automotive Engineering • Virtual Sensors
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🔥 Funding within the last year
💰 $15M Series B on 2024-06
Data and Simulation Engineer - Vehicle Dynamics
February 13
COMPREDICT
COMPREDICT is a company specializing in virtual sensor technology to transform vehicle data into actionable insights. Through purely software-based solutions, COMPREDICT enhances existing hardware with virtual sensors, enabling new measurement capabilities, vehicle health, and usage monitoring. Their platform is designed for vehicle OEMs, tier 1 suppliers, and fleet solution providers, offering predictive maintenance technology and optimizing component lifecycle. The company focuses on reducing the need for physical sensors, saving costs and improving the development process using AI and machine learning. With strategic partnerships, such as those with Renault and UTAC, COMPREDICT is at the forefront of advancing mobility through innovative data-driven solutions.
Machine Learning • Predictive Maintenance • Big Data • Automotive Engineering • Virtual Sensors
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🔥 Funding within the last year
💰 $15M Series B on 2024-06
📋 Description
• Process and analyze large-scale time-series data from vehicle sensors using advanced signal processing techniques (time and frequency domain). • Develop data-driven simulation models to estimate vehicle component loads (e.g., tires, suspension, chassis elements). • Implement and optimize numerical models for vehicle dynamics applications. • Work with Python and/or Matlab/Simulink for data analysis, simulation, and model validation. • Collaborate with cross-functional teams, including data scientists and software engineers, to integrate simulation models into automotive software solutions.
🎯 Requirements
• Degree in Mechatronics, Mechanical Engineering, Automotive Engineering, or a related field. • 3+ years of experience in signal processing and data-driven simulation for vehicle dynamics applications. • Strong background in time-series analysis, system modeling, and numerical simulation. • Proficiency in Python and/or Matlab/Simulink for data processing and model development. • Knowledge of vehicle dynamics and sensor data interpretation. • Experience with machine learning and statistical modeling is a plus.
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