MVP · 2 Team-Members · AI & Machine Learning, Automation & Robotics, Sports & Recreation...
Co-Founder (3D & Generative Computer Vision)
Overview
- (Co-)Founder
 - Tech
 - Developer (Frontend) Software Engineer Hardware Engineer
 - Full-time
 
- München
 - Flexible (Office and Remote)
 - No salary
 - Not specified
 
- Junior (1-3 years)
 - Master's Degree
 - English
 - Flexible hours
 
Description
Location: Munich, Germany | Commitment: Full-Time | Compensation: EXIST Stipendium + Equity Role 🔍 💻
🎾 About Us
At ProPulse, we're breaking new ground in the world of tennis training. Our vision is to transform solo practice by creating the first AI-powered training system that mirrors human shot behavior in real-time.
By combining advanced AI, machine learning, sports science, and robotics, we’re building a training partner that adapts to every player’s individual style, skill level, and ambitions—making practice sessions as dynamic, engaging, and impactful as a real match.
We’re a small, driven team passionate about sports, technology, and pushing the boundaries of what's possible. We are growing rapidly, having secured four pilot projects over the summer — and now, we’re looking for a 3D & Generative Computer Vision Co-Founder to help us bring this vision to life.
🤟 Your Role
As a Co-Founder (3D & Generative Computer Vision), you’ll be at the forefront of developing our AI-driven tennis training system. You’ll lead the development of 3D and generative computer vision systems that extract rich motion data from real tennis players and generate realistic video outputs — powering AI models that understand, predict, and replicate authentic human behavior for immersive solo training experiences.
👨💻 What You’ll Do
- Architect and develop core computer vision systems for motion tracking, shot analysis, and predictive modeling.
 - Design and optimize deep learning models (e.g., TensorFlow, PyTorch, OpenCV) for real-time applications.
 - Work closely with robotics engineers to integrate vision models into physical systems.
 - Shape our CV and data strategy, including data collection, preprocessing, and continuous learning.
 - Collaborate with the founding team to define and execute the technology roadmap.
 - Stay ahead of the curve by researching and implementing the latest advances in computer vision, generative AI and sports tech.
 
👀 What We’re Looking For
- Strong background in Computer Vision, Machine Learning, and AI.
 - First Touchpoints/Expertise in human motion tracking, pose estimation, action recognition, or predictive modeling.
 - Proficiency in Python, TensorFlow, PyTorch, OpenCV, or similar frameworks.
 - Experience deploying real-time models, ideally integrated with robotics or edge devices.
 - A startup mindset: proactive, hands-on, and comfortable in a fast-paced, high-impact environment.
 - Passion for sports, innovation, and building products that change how people train and perform.
 - (Bonus) Background in stereo vision, generative visual models, or optimizing real-time computer vision systems.
 - (Bonus) Tennis player or deep interest in racket sports!
 
Why Join ProPulse?
🎾 Shape the Future of Tennis – Build a groundbreaking training system used by players around the world.
🚀 Founder's Equity + EXIST Stipendium – Receive support through the EXIST program, alongside a ownership stake in a high-upside startup.
🏓 Be Part of a Rapidly Growing Team – Join us at an exciting time with 4 pilot projects secured over the summer.
🤝 Mission-Driven Team – Work with passionate innovators at the intersection of sports, AI, and robotics.
⚡ Real Impact – Create a technology that will fundamentally change how athletes train and achieve mastery.
You have strengths in
- 
                                
                                    
- Numbers, Data, and Logic
 - Driving things forward and getting things done
 - Structuring and strategic thinking
 
 
Your Skills
- 
                                
                                    
- PyTorch
 - OpenCV
 - Tensorflow
 - human motion tracking
 - pose estimation
 - action recognition
 - Programming
 
 
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