Computer Vision Engineer

develop; München; Vor Ort; EUR 100.000 - 140.000; Vollzeit

Zusammenfassung

develop, a Munich-based start-up in AI and defense security, seeks a seasoned Senior Computer Vision / Edge AI Engineer to join the team. You will design and optimize CV models, deploy at the edge, and collaborate with optics, hardware and product teams to build real-time spatial intelligence for defense missions.

Fluency in German and English is required, and on-site presence in Munich is essential for close collaboration with the multidisciplinary teams.

Qualifikationen

• Several years of hands-on software and ML engineering in computer vision.
• Expertise with PyTorch/TensorFlow and end-to-end ML pipelines.
• Fluent German and English communication; on-site in Munich.

Aufgaben

• Design, train, and optimize computer vision architectures for edge devices.
• Build scalable ML pipelines, data ingestion, and evaluation frameworks from scratch to production.
• Deploy vision pipelines on low-power edge hardware with low latency and real-time recognition.
• Collaborate with optics, hardware, and product teams to create spatial intelligence systems.

Kenntnisse

Python

Computer Vision

Edge AI

PyTorch

TensorFlow

MLOps

Edge deployment

German language

English communication

Jobbeschreibung

Location: On-site (5 days per week) in Munich, Germany

Role Overview

My client is looking for an experienced Senior Computer Vision / Edge AI Engineer to join. They are a start-up AI and Defence security intelligence company in Munich. The role focuses on developing next-generation computer vision systems, foundational ML workflows, and spatial intelligence algorithms that turn complex visual and sensor data into real-time operational awareness for defence and homeland security missions.

Key Responsibilities

• Model Development & Optimization: Design, train, and optimize advanced computer vision architectures (CNNs, Vision Transformers, and object detection/tracking models) capable of processing high-resolution visual and thermal feeds at the edge.
• Core ML Engineering & MLOps: Architect, build, and maintain scalable machine learning pipelines, robust data ingestion workflows, automated training loops, and rigorous model evaluation frameworks from scratch to production.
• Edge Deployment & Hardware Acceleration: Deploy and scale vision pipelines onto ultra-low-power edge hardware, ensuring high reliability, low latency, and real-time target recognition, classification, and tracking under constrained SWaP conditions.
• Cross-Functional Collaboration: Work closely with optics, hardware, and product teams to translate complex physical environments into robust, production-grade spatial intelligence systems.

Profile & Requirements

• Experience: Several years of hands-on, rigorous software and machine learning engineering experience, successfully building, training, and deploying production-grade computer vision models in real-world environments.
• Technical Stack: Strong Python expertise, deep learning frameworks (PyTorch/TensorFlow), end-to-end MLOps tooling, and extensive experience with edge AI deployment, model quantization/pruning, and image processing.
• Domain Mindset: Strong interest or background in applied optics, defence technology, robotics, or real-time sensor intelligence.
• Prerequisites: Fluent German and English communication skills, and full on-site availability in Munich (5 days per week) with valid work authorization in Germany.