Computer Vision Engineer – Object Detection (m/w/d) at Autonomous Teaming Solutions

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Deep Learning, Object Detection, PyTorch, Python, Temporal Models, Dataset Curation, Model Optimization, Git, Docker, Neural Networks, Multi-sensor Fusion, Robot Operating System (ROS), Tracking Algorithms, Perception Algorithms, Data Annotation

Industry

Software Development

Description

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.

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Responsibilities

Build and train neural networks for object detection and perception using time-series data and multi-sensor systems. Design custom loss functions and architectures while supervising data annotation and deploying models into production.