(Senior) Software Engineer (m/f/d) Athletic Performance

Reposted 18 Days Ago
Be an Early Applicant
Munich, Bayern, DEU
In-Office
Mid level
Information Technology
Technology solutions that add real-time value in industries, logistics & sports. Discover our latest release: KINEXON OS
The Role
As a Software Engineer, analyze and process real-time athlete data to enhance performance and reduce injury risks, developing algorithms and optimizing data pipelines.
Summary Generated by Built In

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 assists professional teams and leagues in using data for pioneering innovative strategies. 

YOUR OPPORTUNITY

Are you passionate about sports and technology?

Join our Sports Data Processing team at KINEXON Sports and work with real-time data (GPS, LPS, IMU, heart rate) from top athletes in sports like handball, football, and more! As a Software Engineer, you'll analyze and process data that help enhance performance and reduce injury risks.

This position requires an office presence in Munich at least two days per week.

YOUR RESPONSIBILITIES
  • 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
YOUR PROFILE
  • 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
  • Beneficial experience with C++ for high-performance computing or specialized data processing, including familiarity with build systems like CMake and CI/CD

YOU CAN LOOK FORWARD TO THIS WITH US

At KINEXON, you will meet people with a similar mindset who are passionate about innovative technologies and love to master new challenges in a team, as well as create great products.  
Become part of our team and enjoy the following benefits:  

  • #Freetime 30 days (DE) / 20 days (US) paid vacation to refuel your energy (for full-time employees)
  • #WeCare – take your time off for the family (parental leave etc.)
  • #WorkingHours – Early bird or night owl - you can choose your flexible work hours.
  • #FlexibleLocation – we work with a hybrid and remote model.
  • #OneTeam - We enjoy spending time together at regular team and company events.
  • #OnTop - further benefits selected by you annually out of a range of benefits that we offer (mobility, sports, vacation budget, training budget and more) 

If you want to find out more about our benefits, you can look here and with a visit to Instagram wearekinexon you can get a look behind the scenes.


ABOUT US

KINEXON is a leader in Physical AI for Manufacturing & Sports, turning real-time location and motion data into actionable intelligence and automation. Our AI and IoT-driven platform supports a wide range of applications, from automated logistics and safety solutions in factories to live player tracking and performance analytics in sports. In sports, 80% of NBA teams rely on KINEXON technology, alongside FIFA and top European football teams and leagues. In manufacturing and logistics, we partner with blue chip companies including BMW, Siemens, Airbus, Continental, and MTU to drive measurable efficiency gains. Founded as a TU Munich spin-off, we are a team of ~250 people headquartered in Munich with a US office in Chicago - and we're hiring ambitious talent ready to shape the future of physical AI.

Skills Required

  • Strong skills in data manipulation and scientific computing using Python
  • Demonstrated experience in data analysis, statistical modeling, and machine learning
  • Experience with C++ for high-performance computing or specialized data processing
  • Familiarity with build systems like CMake and CI/CD
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The Company
HQ: Munich
243 Employees
Year Founded: 2012

What We Do

KINEXON stands for connected and automated operations in manufacturing, logistics, sports and media organizations. Our full IoT-stack, which includes state-of-the-art cloud solutions, translates physical worlds into digital twins and provides intuitive tools to identify, optimize and automate processes. Through our leading solutions we enable our customers to achieve next-level performance, efficiency and sustainability. 360-degree connectivity also seamlessly integrates into existing IT infrastructures and allows to realize individual applications. As a full-stack provider, KINEXON covers the entire range of sensors, cloud-software, consulting, and service. In addition, KINEXON possesses profound vertical expertise in manufacturing, logistics, professional sports, and media. Among the clients are top international sports clubs from the NBA, NHL, NFL, Bundesliga, DEL, BBL, and HBL, globally active companies including BMW, Continental, Zalando, and Red Bull, as well as high-reach media enterprises such as Red Bull Mediahouse and Sky. KINEXON has received several awards for its innovative solutions – for example, KINEXON won the awards for most innovative tech company in Bavaria, several IoT Awards in the US, and and "best young tech company" at the "Factory of the Year" awards, organized by A.T. Kearney and the industry journal “Die Produktion.” KINEXON was founded by Dr. Alexander Hüttenbrink and Dr. Oliver Trinchera, former scientists of the Technical University of Munich. The headquarters in Munich, as well as the US offices in Chicago currently employ around 300 people.

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