Abrar Admin

Stealth Startup (Deep Defense Tech)

<div>
 
 
 Senior Computer Vision Engineer
 
 
 
 (Aerial Threat Detection, Classification &amp; Tracking)
 
 
 Location: Berlin (Onsite)
 
 
 
 
 
 
 About Us
 
 
 
 We are a defense technology startup based in Berlin, building the next generation defense layer against aerial threats. Our team develops mission-critical systems that combine hardware, software, sensing, and real-time AI to operate reliably in complex real-world environments.
 
 
 Operating in stealth mode, we place strong emphasis on engineering rigor, real-world performance, and defense-grade system reliability.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a Senior Computer Vision Engineer to design, train, deploy, and continuously improve computer vision models for aerial threat detection, classification, and tracking.
 
 
 This role focuses on real-world vision challenges: detecting small objects at long range, maintaining tracking stability under poor visibility and motion, classifying targets reliably, and deploying performant models on edge compute platforms such as NVIDIA Jetson / Tegra.
 
 
 You will own key parts of the vision model lifecycle, from dataset preparation and augmentation to model development, deployment optimization, field-data error analysis, and iterative improvement. You will work closely with robotics, tracking, and controls engineers to ensure visual perception outputs can be used reliably in real-time system behavior.
 
 
 This is a hands-on, production-oriented role for someone with deep experience building vision systems that work outside controlled lab conditions.
 
 
 This position requires onsite work in Berlin and candidates must be from a NATO member state.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Computer Vision Model Development
 
 
 <ul>
 <li>
 Design, train, fine-tune, and deploy computer vision models for: Long-range small-object detection, Object classification and identification, Multi-object tracking, Target state estimation support
 </li>
 <li>
 Work with modern vision approaches, including real-time detectors, CNN-based architectures, vision transformers, tracking-by-detection pipelines, or custom models
 </li>
 <li>
 Evaluate trade-offs between detection accuracy, latency, robustness, and compute constraints
 </li>
 <li>
 Develop model pipelines that support continuous improvement from real-world field data
 </li>
 </ul>
 
 
 
 
 
 Real-World Robustness
 
 
 <ul>
 <li>
 Improve model performance under challenging operating conditions, including: Small targets at long range, Motion blur, Low light, glare, and changing illumination, Clouds, rain, fog, and atmospheric effects, Cluttered backgrounds, Camera movement and vibration, IR / thermal imagery artifacts
 </li>
 <li>
 Analyze failure cases and translate them into concrete model, data, and preprocessing improvements
 </li>
 <li>
 Improve classification confidence, tracking stability, and robustness against false positives#
 </li>
 </ul>
 
 
 
 
 
 Dataset Lifecycle &amp; Synthetic Data
 
 
 <ul>
 <li>
 Own key parts of the vision data pipeline, including: Data cleaning, Augmentation strategies, Label quality analysis, Error analysis, Continuous dataset improvement
 </li>
 <li>
 Use synthetic data to improve coverage of rare, difficult, or safety-critical scenarios
 </li>
 <li>
 Collaborate with simulation engineers to align synthetic data generation with real-world failure cases
 </li>
 <li>
 Define metrics and evaluation sets for long-range detection, classification, and tracking performance
 </li>
 </ul>
 
 
 
 
 
 Tracking &amp; Sensor Fusion
 
 
 <ul>
 <li>
 Develop and improve tracking-by-detection and multi-object tracking pipelines
 </li>
 <li>
 Integrate vision outputs into downstream tracking and control systems
 </li>
 <li>
 Work with sensor inputs including: IR / thermal cameras, Laser range finder data
 </li>
 <li>
 Contribute to sensor fusion approaches where visual detections must be combined with additional measurement sources
 </li>
 <li>
 Collaborate with robotics, tracking, and controls engineers to ensure perception outputs are stable, timely, and actionable
 </li>
 </ul>
 
 
 
 
 
 Edge Deployment &amp; Optimization
 
 
 <ul>
 <li>
 Deploy and optimize models on NVIDIA Jetson / Tegra platforms
 </li>
 <li>
 Optimize inference performance using: TensorRT, CUDA
 </li>
 <li>
 Efficient preprocessing pipelines
 </li>
 <li>
 Balance accuracy, latency, memory usage, and thermal constraints
 </li>
 <li>
 Support real-time perception pipelines running on embedded or edge compute hardware
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 6+ years of experience in computer vision, applied machine learning, or real-world perception systems
 </li>
 <li>
 Proven hands-on experience building, training, deploying, and maintaining computer vision models
 </li>
 <li>
 Strong experience with object detection, classification, and/or multi-object tracking
 </li>
 <li>
 Experience with real-world image data, including noisy labels, domain shift, sensor artifacts, and difficult edge cases
 </li>
 <li>
 Strong Python skills and experience with deep learning frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Experience optimizing and deploying models on edge platforms, ideally NVIDIA Jetson / Tegra
 </li>
 <li>
 Experience with inference optimization tools such as TensorRT and/or CUDA
 </li>
 <li>
 Strong analytical skills for error analysis, model evaluation, and performance debugging
 </li>
 <li>
 Ability to work closely with robotics, controls, and systems engineers
 </li>
 <li>
 Onsite availability in Berlin
 </li>
 <li>
 Citizenship of a NATO member state
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Background in defense, aerospace, robotics, autonomous systems, or industrial perception
 </li>
 <li>
 Experience with IR / thermal computer vision
 </li>
 <li>
 Experience with long-range small-object detection
 </li>
 <li>
 Experience with sensor fusion involving visual detections and range measurements
 </li>
 <li>
 Experience with synthetic data generation and simulation-driven dataset improvement
 </li>
 <li>
 Experience with tracking filters, tracking-by-detection, or real-time perception-to-control pipelines
 </li>
 <li>
 Strong C++ skills for production integration are a plus
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 VSOP / equity participation
 </li>
 <li>
 Central Berlin office
 </li>
 <li>
 Extreme growth opportunity in a fast-scaling startup
 </li>
 <li>
 Holiday allowance
 </li>
 <li>
 Monthly voucher
 </li>
 <li>
 Public transportation subsidies
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 <ul>
 <li>
 Real-world focused: You care about models that work in the field, not just on benchmark datasets
 </li>
 <li>
 Data-driven: You analyze failures systematically and improve models through evidence
 </li>
 <li>
 Performance-aware: You understand latency, memory, and edge deployment constraints
 </li>
 <li>
 Robustness-oriented: You think deeply about edge cases, domain shift, and degraded conditions
 </li>
 <li>
 Collaborative: You work effectively with robotics, tracking, and controls engineers
 </li>
 <li>
 Mission-aligned: You understand the responsibility of building perception systems for defense applications
 </li>
 </ul>
 
 
 
</div>

Senior Computer Vision Engineer

Join Stealth Startup (Deep Defense Tech) and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Stealth Startup (Deep Defense Tech)

About Company

Senior Computer Vision Engineer