Computer Vision Engineer – SLAM & Sensor Fusion

OXTS; Middleton Stoney; On-site; GBP 55,000 - 85,000; Full time

Benefits offered by this job

Discretionary annual profit share

27 days annual leave

5% employee and 5% employer pension

Group Income Protection Insurance

Private Medical Insurance

Death In Service Scheme

Electric Vehicle Scheme

Smart casual dress code

Job summary

OxTS RD is seeking a Computer Vision Engineer to join the Engineering team in Middleton Stoney, United Kingdom. You will help develop SLAM, perception and sensor-fusion capabilities for real-world navigation and mapping products, collaborating across automotive testing, autonomous systems, surveying and mobile mapping applications.

The role involves integrating LIDAR, cameras, GNSS and inertial sensors on moving platforms, and will require passionate problem-solving, strong software engineering

Qualifications

• Degree in Computer Science or Software Engineering or related field.
• Experience in computer vision, SLAM, robotics, mapping, perception or sensor-fusion systems.
• Experience delivering production-quality engineering software; understanding CI/CD and code quality.

Responsibilities

• Apply software engineering, mathematical and analytical skills to solve technical problems and support product development.
• Develop software that combines LIDAR, cameras, GNSS, inertial sensors to deliver accurate positioning and mapping data.
• Contribute to investigations, algorithm evaluation, experimental analysis and roadmap support.
• Take responsibility for technical deliverables and collaborate with teammates on projects.

Skills

Computer vision

SLAM

robotics

mapping

perception

sensor-fusion

production-quality software

software architecture

Education

Degree in Computer Science or Software Engineering or related degree

Tools

Linux

Docker

CUDA

Job description

OxTS RD is seeking a Computer Vision Engineer to join the Engineering team in Middleton Stoney, United Kingdom. You will help develop SLAM, perception and sensor-fusion capabilities for real-world navigation and mapping products, collaborating across automotive testing, autonomous systems, surveying and mobile mapping applications.

The role involves integrating LIDAR, cameras, GNSS and inertial sensors on moving platforms, and will require passionate problem-solving, strong software engineering