Computer Vision Engineer — Aerial Perception & Target Analysis

Optimus Search; Berlin; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Optimus Search in Berlin is seeking a Computer Vision Engineer to develop robust AI pipelines for UAS target detection, classification, and real-time tracking across IR/thermal and visible imagery. Onsite work in Berlin is required; citizenship of a NATO member state is mandatory.

You will implement edge-optimized models, integrate with multi-sensor data, and drive performance under challenging conditions, with emphasis on low latency and reliability.

Qualifikationen

• 5+ years of experience in computer vision, deep learning, or real-time perception systems.
• Proven track record in object detection, classification, and multi-object tracking.
• Strong proficiency with Python and C++ for production deployment.
• Experience with edge deployment on NVIDIA hardware and inference optimization.

Aufgaben

• Detection, classification, and real-time tracking of UAS targets across IR/thermal and visible imagery.
• Design, train, and optimise AI/ML models for robust performance in challenging conditions.
• Integrate outputs into multi-target tracking pipelines with low latency.
• Collaborate with hardware, radar, and sensor teams for multi-sensor fusion.

Kenntnisse

Computer Vision

Deep Learning

Real-time Perception

C++

Python

PyTorch

TensorRT

Tools

CUDA

TensorRT

NVIDIA Jetson

Jobbeschreibung

Computer Vision Engineer — Aerial Perception & Target Analysis

Location: Berlin (Onsite)

Job Type: Permanent

Role Summary

We are seeking a skilled Computer Vision / AI Engineer to develop and deploy robust AI-powered pipelines for the detection, classification, and real-time tracking of UAS targets. Working across IR/thermal and visible-spectrum imagery, you will design models and inference workflows that perform reliably under challenging conditions — low contrast, clutter, occlusion, and variable visibility. Your work will directly underpin system awareness, target identification, and track continuity. Onsite work in Berlin and NATO member state citizenship are mandatory.

Key Responsibilities

• Detection & Classification: Design, train, and optimise AI/ML models to detect UAS targets and classify types/behaviours from IR/thermal and visible imagery
• Real-Time Tracking: Integrate detection outputs into multi-target tracking pipelines, ensuring stable association, low-latency inference, and consistent identity maintenance
• Model Optimisation: Adapt and compress models for edge deployment; implement inference pipelines using TensorRT, CUDA, and efficient architectures to balance accuracy and speed on NVIDIA hardware
• Robustness & Adaptation: Improve performance across weather, lighting, occlusion, and sensor noise; implement data augmentation and domain adaptation to bridge simulation-to-reality gaps
• Sensor Alignment: Work with thermal, radar, and laser teams to align imagery and detection outputs, enabling multi-sensor fusion and enhanced reliability
• Evaluation & Iteration: Build rigorous evaluation frameworks; analyse field data and failure cases; drive continuous improvement in precision, recall, false-positive suppression, and latency
• Documentation & Deployment: Maintain clear records of model architectures, training data, performance characteristics, and deployment constraints

Required Qualifications

• 5+ years’ experience in computer vision, deep learning, or real-time perception systems
• Proven track record in object detection, classification, and multi-object tracking
• Deep understanding of CNNs, transformer architectures, loss functions, and training methodologies
• Proficiency with PyTorch or TensorFlow; practical experience in model compression, pruning, and quantization
• Strong Python; working knowledge of C++ for production-grade inference deployment
• Experience optimising and deploying vision/AI pipelines on edge platforms — ideally NVIDIA Jetson/Tegra
• Familiarity with TensorRT, CUDA, and efficient inference practices
• Ability to work cross-functionally with hardware, radar, and tracking engineers
• Availability for onsite work in Berlin; NATO member state citizenship
• Experience with IR / thermal imagery or low-contrast, low-resolution target detection
• Multi-sensor or fusion perception experience (vision + radar/RF + laser)
• Hands-on work with tracking-by-detection, temporal association, or re-identification
• Familiarity with operational constraints: latency, SWaP, environmental robustness
• Publication or project experience in aerial perception, small-target detection, or defence-related vision