Computer Vision Engineer

MicroTech Consulting
Bucharest, United Kingdom
Last month
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Solution Architect, Computer Vision – Media and Entertainment

Remote
Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Posted
30 Apr 2026 (Last month)

Our client are a Robotics company with a Physical AI Lab Bucharest.

The client require candidates to do hybrid working and are unable to provide sponsorship for this position.

Responsibilities:

  • Own camera-based perception pipelines from sensor selection to production deployment
  • Evaluate and select camera sensors, modules, and optics based on system and application requirements
  • Tune and optimize ISP pipelines (image quality, color, HDR, noise, latency, synchronization)
  • Develop and integrate computer vision and ML-based algorithms into the perception stack
  • Work with perception and software teams to integrate cameras with other sensors (LiDAR, IMU, radar, etc.)
  • Design and deploy real-time vision systems on embedded and edge compute platforms
  • Implement and optimize models for tasks such as object detection, tracking, and segmentation; depth estimation from cameras (mono, stereo, multi-view); optical flow and motion estimation

Key Requirements:

  • Bachelor's degree or higher in Computer Science, Electrical Engineering, Robotics, or a related field
  • 7+ years of experience in camera, computer vision, or perception engineering
  • Strong experience with camera sensors, optics, and ISP tuning
  • Deep understanding of computer vision and ML fundamentals
  • Hands-on experience developing and deploying ML-based vision models
  • Strong software engineering skills in C++ and/or Python

Desirables:

  • Experience in robotics, autonomous systems, AR/VR, or advanced driver assistance systems (ADAS)
  • Familiarity with modern vision and ML frameworks (PyTorch, TensorFlow, ONNX, OpenCV, etc.)
  • Experience with embedded or edge AI deployment (NVIDIA Jetson, CUDA, TensorRT, etc.)
  • Background in depth estimation, stereo vision, SLAM, or visual-inertial systems

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