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pinpoint

Computer Vision Engineer

OXTS
GBR
Full-time
Mid
Hybrid
Discovered 2 weeks ago
C++C#PythonLinuxDockerCUDA

Full Job Posting

Key Responsibilities

  • We’re looking for someone who can:
  • Apply software engineering, mathematical and analytical skills to solve interesting technical problems and support the continued development of OXTS products.
  • Help us developing software that combines LIDAR, cameras, Global Navigation Satellite Systems (GNSS), inertial sensors and advanced mathematical techniques to deliver highly accurate positioning, orientation, motion and mapping data.
  • Contribute to technical investigations, algorithm evaluation, experimental analysis and innovation activities that support future product development and technical roadmaps.
  • Take responsibility for technical deliverables, have autonomy over your day-to-day engineering work, and keep growing your expertise while collaborating with colleagues on shared team and project goals.

Skills, Knowledge and Expertise

  • Essentials
  • Degree in Computer Science, Software Engineering, related Degree or equivalent experience.
  • A genuine interest in continued learning and professional development
  • Experience in at least one of: computer vision, SLAM, robotics, mapping, perception and/or sensor-fusion systems.
  • Experience delivering production-quality engineering software.
  • Understanding of software architecture, code quality, testing and CI/CD.
  • Nice to have
  • Experience with LiDAR and camera data processing.
  • Experience with IMU/GNSS-aided sensor fusion.
  • Experience with C++, C# or Python in engineering software.
  • Familiarity with Linux, Docker, CUDA or GPU acceleration.
  • Understanding of navigation, localisation or mapping products.
  • Familiarity with React or web-based visualisation tools.
  • Experience using AI coding assistants to improve engineering productivity.

Benefits

  • Discretionary annual profit share bonus
  • 27 days annual leave plus bank holidays
  • 5% employee and 5% employer contributions through our via our salary sacrifice workplace pension scheme
  • Group Income Protection Insurance Scheme
  • Private Medical Insurance
  • Death In Service Scheme
  • Electric Vehicle Scheme
  • Smart casual dress code

Requirements

  • Essentials
  • Degree in Computer Science, Software Engineering, related Degree or equivalent experience.
  • A genuine interest in continued learning and professional development
  • Experience in at least one of: computer vision, SLAM, robotics, mapping, perception and/or sensor-fusion systems.
  • Experience delivering production-quality engineering software.
  • Understanding of software architecture, code quality, testing and CI/CD.
  • Nice to have
  • Experience with LiDAR and camera data processing.
  • Experience with IMU/GNSS-aided sensor fusion.
  • Experience with C++, C# or Python in engineering software.
  • Familiarity with Linux, Docker, CUDA or GPU acceleration.
  • Understanding of navigation, localisation or mapping products.
  • Familiarity with React or web-based visualisation tools.
  • Experience using AI coding assistants to improve engineering productivity.

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