AI Engineer MotoGP

Development and implementation of intelligent systems for real-time strategy, and data-driven performance enhancement in motorsports, In our Racing Factory, we live and breathe the passion for ultimate engineering excellence. Our drive is to create the perfect racing machine. Day after day, we take on the challenge of competing with the best teams in the world to develop and manufacture the ultimate high-performance motorcycle. But before we can celebrate great victories together, the bikes must first be developed. As a AI Engineer, you play a key role in pushing our performance forward. You will work closely with various motorsport teams to collect, analyze, and present data from our road racing bikes - making you an essential part of our continuous development. Do you have the passion and drive it takes?, * system Deployment: Design and implement machine learning models directly into trackside servers and edge-computing devices

• strategy Automation: Develop predictive AI tools for tire degradation, fuel consumption, and real-time pit window optimization
• electronics Mapping: Create AI algorithms to optimize traction control (TC), wheelie control (AW), and engine braking (EB) strategies for specific track layouts
• test Data Synthesis: Build predictive models that synthesize data from the testing team to accelerate setup choices before the race team arrives at the circuit
• tire Life Prediction: Develop deep learning models to predict asymmetric tire degradation based on lean angle, track temperature, and throttle application
• rider Style Analysis: Use computer vision and telemetry overlay models to compare rider inputs, highlighting precisely where a rider can gain time or save tires
• cross-Functional Leadership: Train traditional race engineers, mechanics, and drivers on how to interpret and trust AI-generated insights
• data Acquisition Enhancement (Predictive Maintenance): Build anomaly detection algorithms to flag mechanical failures before they happen on track

*As a global player rooted in Austria, we thrive on diversity. No matter what gender you may be, where you come from or the color of your skin - here, you are YOU, and that's what matters to us., * successfully completed technical education with a focus on automotive-, mechanical or electrical engineering with focus on computer sciences, data science / AI, mechatronics or machine learning (university of applied sciences/technical university)

• minimum of 5 years of professional experience in the field of data engineering, AI/ML project coordination, telemetry analysis and a high level of AI expertise

• core data & AI Infrastructure Knowledge
• programming & scripting knowledge (Python, Matlab, Git)
• data engineering & processing tools (time-series processing, big data framework, data quality monitoring)
• AI & machine learning Fundamentals (ML model types, model validation, model deployment basics)
• MotoGP standard applications (Wintax, Sysma)
• IT Security & Compliance (data encryption, access control, IP protection, secure architectures)n-depth technical knowledge of:core data & AI Infrastructure Knowledge

• strong written and spoken English skills
• active interest in motorcycles and motorsports
• communicative and flexible personality with team spirit, organizational skills, and a hands-on mentality
• analytical, creative, and solution-oriented thinking as well as a structured, methodical, and precise way of working

• The opportunity to actively help shape the new beginning and future of one of Europe's most successful motorcycle manufacturers
• Attractive social benefits and interesting training and development opportunities, as well as a unique corporate culture characterized by collegiality and team spirit
• An attractive and performance-related salary based on qualifications and professional experience from € 61.200,00 gross per year (extra payment possible).

Angetrieben von der Leidenschaft der über 4000 Mitarbeiter ist KTM der größte europäische Motorrad-Hersteller mit einem Umsatz von über 1,5 Milliarden Euro. Dafür setzen wir konsequent auf eine langfristige Strategie, die auf vier Säulen baut: Marke, Globalisierung, Innovation und Mitarbeiter. Wir suchen deshalb neue Kollegen die mitarbeiten, mitdenken, mitleben. Mit oder ohne Berufserfahrung. Mit oder ohne Studium. Mit einem oder zwei X-Chromosomen am Anfang. Denn egal wer du bist, am Ende zählt bei uns nur, was du drauf hast!