Autonomy & Mapping Computer Vision Engineer

Jobs in JS; Cherwell District; On-site; GBP 55,000 - 75,000; Full time

Job summary

Jobs in JS is seeking a Computer Vision Engineer to join Engineering in Middleton Stoney, United Kingdom. You will work on SLAM, perception and sensor fusion for real-world navigation and mapping products.

Collaborate across teams to deliver production-quality software, contribute to algorithm evaluation and roadmaps, and apply CV, robotics and embedded systems knowledge to advance our technology stack.

Qualifications

• Degree in Computer Science, Software Engineering, or related field.
• A genuine interest in continued learning and professional development.
• Experience in computer vision, SLAM, robotics, mapping, perception or sensor-fusion systems.
• Experience delivering production-quality engineering software.
• Understanding of software architecture, code quality, testing and CI/CD.

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, 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

Problem solving

Team collaboration

C++/Python

SLAM/robotics

Software engineering

Education

Bachelor's degree in CS or related

Tools

Docker

CUDA

Linux

Git

Job description

Jobs in JS is seeking a Computer Vision Engineer to join Engineering in Middleton Stoney, United Kingdom. You will work on SLAM, perception and sensor fusion for real-world navigation and mapping products.

Collaborate across teams to deliver production-quality software, contribute to algorithm evaluation and roadmaps, and apply CV, robotics and embedded systems knowledge to advance our technology stack.