(Senior) Software Engineer (m/f/d) - Sports Data Processing

KINEXON Sports stands as a global pioneer in delivering cutting-edge tracking and analysis technology tailored for professional sports. We track movement and position data of players and official match balls, transform it into valuable analyses and insights, and assist professional teams and leagues in using data for pioneering innovative strategies.

• Analyze multi-modal athlete data (GPS, LPS, IMU, heart rate) to extract insights and reduce injury risks
• Develop and optimize real-time data pipelines for sports analytics using C++ and Python
• Build algorithms for processing live sensor data from sports tracking devices
• Detect sport-specific events (e.g., sprints, jumps, tackles) using sensor and video data and create tailored performance metrics
• Integrate and process large-scale data in cloud environments for consistent, real-time analysis
• Document, test, and debug software, ensuring reliability, scalability and data quality
• Translate business needs into technical solutions with cross-functional teams

• Strong skills in data manipulation and scientific computing using Python
• Demonstrated experience in data analysis, statistical modeling, and machine learning
• Strong problem-solving and analytical skills, with an ability to extract insights from complex datasets
• A passion for clean code, efficient design, and sports performance
• Experience with C++ for high-performance computing or specialized data processing, including familiarity with build systems like CMake and CI/CD

• 30 days paid vacation to refuel your energy (for full-time employees)
• Parental leave etc. for family time
• Flexible work hours
• Hybrid and remote work model
• Regular team and company events
• Annual selection of additional benefits from a range offered (mobility, sports, vacation budget, training budget)