Senior Software Engineer Data Processing (m/f/d) at KINEXON
München, , Germany -
Full Time


Start Date

Immediate

Expiry Date

24 Sep, 25

Salary

0.0

Posted On

25 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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.

ABOUT US

KINEXON is a global location-based technology leader that develops groundbreaking hardware and software solutions for the Internet of Things (IoT). Our vision is a world in perfect, frictionless flow. Wherever assets, people or operations are in motion, we can improve and automate the underlying processes, creating powerful results for our customers. Founded in 2012, and headquartered in Munich, Germany, KINEXON has grown to more than 300 employees across offices in Munich and Chicago.
Being a KINEXIAN means you are willing to create real impact for your team, department, and the company as a whole - all while contributing to our most valued asset, our culture.
At KINEXON we want to establish and guarantee an environment in which each person has equal opportunities and has the ability to shine and develop. We believe passionately that employing a diverse workforce is central to the success of a company. Therefore our employment opportunities are open to all individuals, no matter which gender, race, religion, age, sexual orientation, ability, place of origion, or socioeconomic status.
There is no better time to join than NOW. What are you waiting for? Join us on this exciting journey

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
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