Senior Computer Vision Engineer (Geospatial / Visual AI)

$$$$
๐Ÿช– DefTech Product

We are looking for a strong Computer Vision and Geospatial AI engineer to work on an AI product in the defence tech domain. The project is long-term and technically challenging

 

 

Responsibilities

  • Development and optimization of the Computer Vision pipeline
  • Working with video streams and processing low-quality video input
  • Implementation of cross-view feature matching and image retrieval
  • Building and indexing a georeferenced tile database
  • Object georeferencing and spatial analytics
  • Optimization of inference latency and performance
  • Participation in system architecture design

 

 

Requirements

Must-have

  • 4+ years of experience in Computer Vision / Deep Learning
  • Hands-on experience with geo-localisation, place recognition, or image retrieval
  • Feature extraction with foundation models: DINOv2, CLIP, or equivalent
  • Keypoint detection and matching: LightGlue, LoFTR, DISK, SuperPoint
  • Contrastive / metric learning: InfoNCE, triplet loss, hard negative mining
  • Homography estimation and geometric verification
  • Experience with satellite imagery and geospatial data
  • Coordinate systems, tile indexing, GDAL
  • Vector search: FAISS or other ANN libraries
  • Python, PyTorch at production level
  • Experience with video pipelines
  • Linux, Docker

 

 

Nice to have

  • PhD in Computer Vision, Photogrammetry, Remote Sensing, Geomatics, or Robotics
  • Publications in cross-view localisation, visual SLAM, or UAV navigation
  • Experience with degraded or compressed video
  • TensorRT, ONNX, edge deployment
  • CUDA
  • Background in defence, aerospace, or robotics

 

 

We are looking for someone who

  • Can work not only with ML models but also with production systems
  • Can independently build a pipeline and make technical decisions
  • Has a practical engineering mindset
  • Reads and implements recent research papers
  • Understands performance bottlenecks

 

 

Tech stack

Python, PyTorch, DINOv2, CLIP, LightGlue, LoFTR, FAISS, GDAL, FFmpeg, Docker, Linux

 

 

Work format

  • Remote
  • Full-time or B2B contract
  • Long-term project
  • Competitive salary, discussed individually

 

 

Domain experience is a plus

  • Defence tech
  • Drone systems
  • Satellite imagery / Remote sensing
  • Visual geo-localisation
  • ISR / geospatial analytics

Required skills experience

Deep Learning 4 years
Computer Vision 4 years
Background geolocation tracking 3 years
LoFTR 2 years
LightGlue 2 years
InfoNCE 2 years
Homography 2 years
satellite imagery 2 years
GDAL 2 years
FAISS 2 years
Python 2 years
PyTorch 2 years

Required languages

English B2 - Upper Intermediate
Ukrainian Native
Published 18 May
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