Senior / Lead Computer Vision Engineer (C++ / Embedded Vision / Autonomous Systems)

We are looking for a Senior/Lead Computer Vision Engineer to design and build high-performance perception systems for autonomous platforms, robotics, and advanced navigation operating under strict real-time and hardware constraints.

You will shape the architecture, implementation, and optimization of the entire vision pipeline - from geometric processing and object detection to tracking, sensor fusion, and integration with control systems. This role is ideal for someone who can independently solve hard technical problems and deliver reliable systems on embedded hardware.
You will work directly on defense projects for Ukraine, seeing a short path from code implementation to field testing.

What We Offer

• The chance to design mission-critical autonomous vision systems.
• Direct contribution to defense projects for Ukraine.
• Collaboration with top experts in vision, robotics, and embedded systems.
• Ownership of key architectural and technical decisions.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.

Requirements

Core Technical Skills

• 10+ years commercial software development; 5+ years in CV/ML or robotics.
• Degree in Computer Science, Math, Physics, or similar.
• Proven record of successful design and implementation of real-time CV or control algorithms.
• Strong in:
  • Object detection & tracking, Kalman filtering, sensor fusion.
  • Camera calibration, multi-view geometry, 3D reconstruction.
  • SLAM / visual odometry.
  • Real-time control or optimal control algorithms.
• Expertise with PyTorch or TensorFlow.
• Embedded ML optimization: TensorRT, ONNX, quantization, pruning.
• Excellent C++14/17/20 and solid Python.
• Experience with:
  • NVIDIA Jetson, ARM SoCs.
  • Low-latency video pipelines: GStreamer, DeepStream.
  • OpenCV, linear algebra, numerical methods.
  • ROS/ROS2.
  • Building reliable real-time systems in challenging conditions.
• Ability to work independently with minimal supervision.

Responsibilities

• Architect and implement vision algorithms for autonomous platforms.
• Optimize CV/ML models for real-time performance on constrained hardware.
• Design and maintain low-latency camera pipelines (GStreamer, CUDA, DeepStream).
• Integrate vision with navigation, sensor fusion (IMU), and control systems.
• Perform camera calibration, geometric vision, and sensor alignment.
• Research and evaluate new algorithms to further improve accuracy, robustness, and performance.
• Participate in hardware/sensor selection and system architecture design.
• Ensure robustness, safety, and performance of deployed systems.
• Support field testing and system maintenance.

Nice to Have

• Experience with:
  • Night-vision cameras, infrared sensors.
  • Autonomous robotics, drones, UGVs, UAV/UGVs.
  • Multi-sensor fusion (Camera + IMU + LiDAR).
  • Real-time CV.
  • MLOps / deployment pipelines.
  • Experience with ArduPilot/PX4, MAVLink, or Betaflight integration.
  • Mission-critical or functional safety systems.
  • Web/cloud monitoring or remote telemetry tools.