Function Owner (Tire Wear)

TL;DR

Function Owner (Tire Wear) (Automotive): Process large-scale vehicle sensor data and develop data-driven and physics-based models for tire and brake wear estimation with an accent on signal processing, vehicle dynamics, and model-based development. Focus on designing numerical and control-oriented models, optimizing for embedded deployment, and integrating into production automotive software architectures.

Location: Darmstadt, Germany (onsite)

Company

hirify.global develops virtual sensor technologies for automotive chassis systems, focusing on tires and suspension to enable software-defined vehicles and sustainable mobility.

What you will do

• Process and analyze time-series data from vehicle sensors using advanced signal processing in time and frequency domains.
• Develop data-driven and physics-based simulation models for vehicle component wear, especially tires and brakes.
• Design, implement, and optimize numerical and control-oriented models for vehicle dynamics using model-based development.
• Translate models into production-ready functions and deploy on embedded systems (ECUs) with code generation and integration.
• Manage customer deployments and core development/research activities.
• Collaborate with data scientists and software engineers to integrate models into automotive architectures.

Requirements

• 8+ years in physical modelling and system-based approaches for vehicle dynamics, motion control, or similar.
• Strong understanding of vehicle dynamics, control systems, and signal processing.
• Hands-on experience in model-based development (MATLAB/Simulink) and transforming models to embedded software functions.
• Experience with deployment and integration on embedded systems (ECUs), including code generation.
• Degree in electronics, mechatronics, mechanical engineering, or related field.
• MATLAB/Simulink required; Python or C a strong plus.

Nice to have

• Knowledge of machine learning concepts.
• Previous experience in ASPICE development.

Culture & Benefits

• Diverse international team of 35+ members from 10 nations.
• Focus on innovation in virtual sensors for automotive OEMs and Tier1 suppliers.
• Full-time permanent employment in Darmstadt, Germany.