Senior Research Engineer - Mapping and Localization

NavLive is a spin-out from the University of Oxford, backed by award-winning technology and algorithms. We are developing real-time spatial AI solutions for the construction and geospatial industries.

We use real-time multi-sensor fusion and high-precision positioning technology to build 3D models of indoor and outdoor environments in real-time. Our tech can infer what has changed and provide insights to facility owners or site decision-makers. We want to recruit a senior research engineer to help us develop our products and execute R&D projects with partners in the above-mentioned sectors.

Are you interested in joining a rapidly growing start-up to develop advanced technology which will revolutionise how companies monitor their assets, make decisions and measure the real world?

Your role as a Senior Research Engineer will involve:

• Developing and improving 3D localisation and mapping algorithms and related applications (change detection, place recognition, semantic segmentation).
• Writing software in C++ and Python and working in a professional software code base with continuous software integration, code reviews and unit testing.
• Understanding priorities for our clients and the company to develop new features and long-term capabilities.
• To collaborate with our colleagues who have a broad range of expertise - from hardware engineers to UI designers.
• Leading field trials and data collection with our mobile robots and handheld devices.
• Providing your own opinions and perspective to shape the growth of the company. Joining our early-stage start-up company is a unique opportunity to impact a fast-moving deep-tech start-up.

Key requirements for this role:

• Experience developing simultaneous localization and mapping (SLAM) on robots, vehicles or sensor systems.
• Professional/research experience with C++, Python and ROS in the context of robotics and mobile sensing.
• Experience working with sensors such as lidar, vision, GPS and IMUs.
• Understanding of algorithms and tools for SLAM /. Spatial AI such as nonlinear optimization (GTSAM, Ceres), training neural networks for place recognition, and 3D reconstruction techniques (meshes, NeRF).
• A PhD in the field of robotic perception and SLAM or similar industrial experience. Further experience working in industry is desirable.

The following are desirable skills and traits:

• Experience working with 3D (building) models and data flows around 3D and Geospatial data (or interest in learning)

Benefits

For the successful candidate, we can offer:

• Competitive salary offering: 55k - 65k per year
• 25 days of paid annual leave plus bank holidays
• Salary pension exchange scheme
• A dynamic fast-moving work environment based in central Oxford
• On-the-job training in cutting-edge robotics and AI
• Full support for relocation costs including visa sponsorship, as required
• Annual performance and salary review
• Employee share options

Flexibility

This role involves on-site and in-person time, but we structure our working week to enable hybrid work arrangements (working-from-home 1-2 days per week). We more highly value excellent work than always on-site working.

Our working week is centred arpimd a set of core working hours but we offer extra flexibility for candidates with specific personal constraints.

Diversity and Inclusion

Our company thrives on diverse inputs from people of different backgrounds, skillset and points of view. We embrace individuality and aim to offer the flexibility demanded by the modern digital workforce.

Digitising Construction Workflows with NavLive