ProPulse
ProPulse En savoir plus

MVP · 2 Membres de l'équipe · IA et apprentissage automatique, Automatisation et robotique, Sports et loisirs...


Co-Founder (3D & Generative Computer Vision)

Vue d'ensemble

  • (Co-)Fondateur
  • Technique
  • Développeur (Frontend) Ingénieur logiciel Ingénieur matériel
  • Temps plein
  • München
  • Flexible (bureau et distant)
  • Pas de salaire
  • Non spécifié
  • Junior (1-3 ans)
  • Maîtrise
  • Anglais
  • Heures flexibles

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.

Tu as des points forts en

    • Chiffres, données et logique
    • Faire avancer les choses et obtenir des résultats
    • Structuration et réflexion stratégique

Tes compétences

    • PyTorch
    • OpenCV
    • Tensorflow
    • human motion tracking
    • pose estimation
    • action recognition
    • Programming

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