20 beste Stellen als computer vision engineer in münchen – aktuell auf Personalsuche

Computer Vision Engineer – Object Detection (m/w/d)
autonomous-teaming —München
- Vollzeit
- Python
Direkt bewerben
Working Student Computer Vision Engineer
Isarsoft —München
- Teilzeit
- C++
- Machine Learning
- Python
- Homeoffice-Möglichkeit
- Kostenlose Verpflegung
Direkt bewerben
Medical Deep Learning Computer Vision Engineer (m/w/d)
LUMA Vision —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- C++
Direkt bewerben
Founding Engineer 3D Computer Vision & AI
SE3 Labs —München
- Vollzeit
- Persönlich
- Master
- Künstliche Intelligenz
Sr. Computer Vision Engineer (3D Semantic Scene Understanding)
Conxai Technologies GmbH —München
- Vollzeit
- Doktorat
- Informatik
- Master
Direkt bewerben
Robotics Software Engineer (m/w/d)
Bertrandt AG —München
- Vollzeit
- Informatik
- Englisch
- C++
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
STAFF SYSTEMS ENGINEER (M/W/D) - AUTOMOTIVE OEM
Garmin —München
- Vollzeit
- Informatik
- Forschungserfahrung
- Bachelor
Backend Engineer
noventive - IP securely protected —München
- Vollzeit
- Informatik
- Java
- Bachelor
Direkt bewerben
Video Research Engineer (Multiple Levels)
Qualcomm —München
- 179.000 € – 268.400 € pro Jahr
- Doktorat
- Informatik
- Master
2 Tage
Firmware Engineer, Amazon Robotics
Amazon Development Center Germany GmbH —München
- Vollzeit
- Informatik
- AWS
- C++
Machine Learning Engineer
Trimble —München
- Vollzeit
- Informatik
- Bachelor
- Machine Learning
Electronics Design Engineer, Industrial Robotics Group
Amazon Development Center Germany GmbH —München
- Vollzeit
- Doktorat
- Master
- Bachelor
Agentic AI Engineer (f/m/x)
BMW —München
- Vollzeit
- Azure
- Informatik
- DevOps
- Flexible Arbeitszeiten
Research Engineer - 3D World Models
SpAItial —München
- Vollzeit
- Forschungserfahrung
- Master
- Bachelor
Machine Learning Engineer (m/f/x) - Geospatial AI
osapiens —München
- Hybrides Arbeiten
- AWS
- Machine Learning
- Künstliche Intelligenz
Direkt bewerben
Test Engineer for Hard- & Software (m/f/d) for Radar Systems
Kymati GmbH —Grasbrunn
- Vollzeit
- Hybrides Arbeiten
- Datenanalyse
- Englisch
- Elektrotechnik
- Gleitzeit
ML Data Engineer (m/f/d) - Sensor Data & Pipelines
autonomous-teaming —München
- Vollzeit
- AWS
- Python
Direkt bewerben
Machine Learning Systems & Infrastructure Engineer
SpAItial —München
- Vollzeit
- Azure
- SQL
- AWS
Analog / Mixed-Signal IC Design Engineer, Brain-Computer Interfaces
FUTRUE —Gräfelfing
- Vollzeit
- Doktorat
- Englisch
- Elektrotechnik
Direkt bewerben
Full-Stack Engineer
noventive - IP securely protected —München
- Vollzeit
- Informatik
- Java
- Bachelor
Direkt bewerben

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Computer Vision Engineer – Object Detection (m/w/d)

autonomous-teaming
München

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenevents

Qualifikationen

PyTorch
R
Git
Docker
Deep learning
Python

Vollständige Stellenbeschreibung

What we offer

Work in an international, agile team creating the future of autonomous systems
Grow your career in a expanding and ambitious engineering team
Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy
Benefit from a steep learning curve and continuous development
Enjoy team events and a strong, collaborative culture

Your mission

Build, adapt, and train neural networks for object detection and perception tasks using time-series data
Implement perception algorithms that extract and leverage temporal context across multiple frames
Design, implement, and optimize custom loss functions, augmentations, and architectures
Collect, prepare, and curate datasets from the real world – not pre-cleaned academic datasets
Supervise data annotation by refining labeling guidelines and assuring adherence to them
Evaluate and debug models using AP, Precision/Recall, mIoU, and video-based metrics
Deploy models into production as part of an integrated multi-sensor system (camera, radar, IR, acoustic, etc.)

Your profile

Strong experience in computer vision and deep learning, with a focus on object detection using one-stage or two-stage models (YOLO, FCOS, DETR, Faster R-CNN, etc.)
Strong experience with temporal models such as RNNs, ConvLSTMs, or transformer-based tracking
Ability to modify and extend network architectures, not just use them off the shelf
Hands-on experience in dataset collection, labeling, augmentation, and training
Proven ability to train object detection models from scratch or adapt them to custom classes and data
Familiarity with perception challenges specific to robotics, such as motion blur, lighting variation, occlusion, or limited compute
Proficiency in PyTorch, Python, Git, Docker

Nice to have

Experience with tracking algorithms (DeepSORT, ByteTrack, Kalman Filters).
Prior work with non-visual sensors such as infrared, acoustic, radar, or LiDAR for object detection and fusion.
Exposure to model optimization and compression (quantization, pruning, distillation).
Experience in the domain of UAVs, familiarity with ROS.

What else

Intrinsic motivation, attention to detail, and strong problem-solving mindset
Creative thinker with a structured and systematic approach
Humble and collaborative — prioritizes collective success over individual recognition
High ethical standards and disciplined work ethic
Extra-curricular leadership or achievements are a bonus
Fluent in English
Nationality of a NATO member nation or close ally is required
Successful candidates will be required to obtain security clearance

Why us?

Join us to shape the future of AI-driven defense!

Do you feel that you fit the description, but don't think you fulfill all the criteria 100%? Apply to us anyway.
We look forward to receiving your detailed application via our online form.

The world is changing. Exponential technologies are enabling new types of security threats. We are committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate developers who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.

About us

The world is changing. Exponential technologies are enabling new types of security threats. ATS is committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate team members who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.

Who we are: Autonomous Teaming is a defence-tech start-up specializing in machine vision solutions. Driven by cutting-edge innovation, our team works on next-generation technologies designed to meet rapidly evolving security challenges.

What we do: We develop systems that enable computers and sensors to operate as coordinated teams, collaborating in real time to counter AI-powered asymmetric threats at scale — including drone swarms and other UXVs. Our mission is to build resilient, intelligent defence capabilities that perform reliably in the most demanding environments.

How we work: We value close, in-person collaboration as the foundation for building complex, high-impact technology, while maintaining flexibility aligned to role and team needs. Our culture is built on ownership, responsibility, and trust — with a shared commitment to growing and building together.

Where we are: Based in Munich, Berlin, and Toulouse, we are expanding rapidly across Europe with plans to open additional office hubs.

Direkt bewerben

Erweiterte Suche

computer vision engineer Jobs in münchen

Computer Vision Engineer – Object Detection (m/w/d)

Working Student Computer Vision Engineer

Medical Deep Learning Computer Vision Engineer (m/w/d)

Founding Engineer 3D Computer Vision & AI

Sr. Computer Vision Engineer (3D Semantic Scene Understanding)

Robotics Software Engineer (m/w/d)

STAFF SYSTEMS ENGINEER (M/W/D) - AUTOMOTIVE OEM

Backend Engineer

Video Research Engineer (Multiple Levels)

Firmware Engineer, Amazon Robotics

Machine Learning Engineer

Electronics Design Engineer, Industrial Robotics Group

Agentic AI Engineer (f/m/x)

Research Engineer - 3D World Models

Machine Learning Engineer (m/f/x) - Geospatial AI

Test Engineer for Hard- & Software (m/f/d) for Radar Systems

ML Data Engineer (m/f/d) - Sensor Data & Pipelines

Machine Learning Systems & Infrastructure Engineer

Analog / Mixed-Signal IC Design Engineer, Brain-Computer Interfaces

Full-Stack Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als computer vision engineer in münchen erhalten

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