Computer Vision Engineer

As a Computer Vision Engineer, you'll join a collaborative team developing SLAM, perception and sensor-fusion capabilities for real-world navigation and mapping products. The role sits at the intersection of computer vision, navigation, geospatial data and embedded systems.

With the support from experienced colleagues, you'll contribute to products and technologies used across automotive testing, autonomous systems, surveying and mobile mapping applications.

If you've worked on projects that combine LIDAR, Cameras, GPS, accelerometers or gyroscopes on a moving platform, we'd love to hear from you!

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.

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.

• 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