Computer Vision Engineer

OXTS; Bicester; Presencial; GBP 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Discretionary profit share bonus

27 days annual leave plus bank holiday

5% employee and 5% employer pension

Group Income Protection Insurance

Private Medical Insurance

Death In Service Scheme

Electric Vehicle Scheme

Smart casual dress code

Descripción de la vacante

OXTS is seeking a Computer Vision Engineer to join a collaborative team developing SLAM, perception and sensor-fusion for real-world navigation and mapping. The role sits at the intersection of computer vision, navigation, geospatial data and embedded systems.

Work with LIDAR, cameras, GNSS and inertial sensors on moving platforms to deliver highly accurate positioning and mapping products across automotive testing, autonomous systems and mobile mapping projects.

Formación

• Degree in Computer Science / Software Engineering or related.
• Curiosity and commitment to continuous learning.
• Experience in CV, SLAM, robotics, mapping, perception or sensor fusion.
• Proven track record delivering production-grade software.
• Knowledge of architecture, code quality, testing and CI/CD.

Responsabilidades

• Apply software engineering and analytical skills to develop OXTS software.
• Develop software integrating LiDAR, cameras, GNSS and inertial data for precise positioning.
• Contribute to investigations, algorithm evaluation and innovation.
• Own deliverables and grow expertise while collaborating with the team.

Conocimientos

Computer Vision

SLAM

Robotics

Mapping

Perception

Sensor Fusion

C++

Python

Docker

CUDA

Linux

Educación

BSc in Computer Science / Software Eng or related

Herramientas

C++

Python

Linux

Docker

CUDA

Descripción del empleo

Location: Middleton Stoney, United Kingdom

Department: Engineering

Location: Middleton Stoney, United Kingdom

Description

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!

Key Responsibilities

• 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