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 software 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 Software Engineer will involve: Supporting field trials with clients on construction sites or nuclear facilities. This will require interacting with client stakeholders to define use cases and data collection procedures and some travel, mostly within the UK. Writing software in C++ and Python to improve our core algorithms and data pipelines. This will involve both front-end and back-end contributions. The ideal candidate will have experience with common UI frameworks and 3D visualisation tools. Working with hardware platforms to deploy our solutions in the field. Developing documentation and unit tests to support the maintenance and development of our professional software code base. Professional or research experience with C++, Python in the context of robotics and mobile sensing. Experience leading interactions with clients including understanding their project requirements. Experience in deploying software upgrades to remote devices, collecting error reports and diagnostics (or interest in learning how to do these tasks). Experience in setting up web servers or using cloud platforms (AWS, Google Cloud, or Azure)) Interest in understanding the role and impact of Building Information Models (BIM) in digital construction design and development workflow. Understanding modern algorithms for visual and laser odometry, place recognition, and reconstruction - including their typical performance and limitations. An understanding of how perception pipelines are built – in particular those involving 3D data such as point clouds and mesh reconstructions. Experience working with AutoDesk’s Revit application and how it is used in engineering design. Experience deploying machine learning pipelines such as PyTorch or Tensorflow 25 days of paid annual leave plus bank holidays ~ Salary pension exchange scheme ~ 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 ~ While this role will require some on-site and in-person time, much of what we do is structured for hybrid work. Diversity and Inclusion We embrace individuality and aim to offer the flexibility demanded by the modern digital workforce. Connecting physical to digital.
