Senior Software Engineer

Intro

NavLive is a spinout from the University of Oxford backed by awardwinning technology and algorithms. We are developing realtime spatial AI solutions for the construction and geospatial industries.

We use realtime multisensor fusion and highprecision positioning technology to build 3D models of indoor and outdoor environments in realtime. Our tech can infer what has changed and provide insights to facility owners or site decisionmakers. We want to recruit a senior software engineer to help us develop our products and execute R&D projects with partners in the abovementioned sectors.

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

Tasks

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 frontend and backend 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. These platforms include mobile robots and handheld devices.
• Developing documentation and unit tests to support the maintenance and development of our professional software code base.
• Understanding how our core positioning and mapping technology (known as SLAM) works in different scenarios and with different sensor combinations.
• Providing your own opinions and perspective to shape the growth of the company. Joining our earlystage startup company is a unique opportunity to impact a fastmoving deeptech startup.

Requirements

Key requirements for this role:

• Aptitude and interest in problemsolving and debugging the acumen of rolling up your sleeves to fix and triage technical issues.
• 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.

The following are desirable skills and traits:

• Understanding modern algorithms for visual and laser odometry place recognition and reconstruction including their typical performance and limitations.
• Experience with mobile robotics and sensors such as lidar vision GPS and IMUs.
• An understanding of how perception pipelines are built in particular those involving 3D data such as point clouds and mesh reconstructions.
• Experience working with AutoDesks Revit application and how it is used in engineering design.
• Experience deploying machine learning pipelines such as PyTorch or Tensorflow

Benefits

For the successful candidate we can offer:

• 20 days of paid annual leave plus 8 bank holidays
• Salary pension exchange scheme
• A dynamic fastmoving work environment based in central Oxford
• Onthejob training in cuttingedge robotics and AI
• Full support for relocation costs including visa sponsorship as required
• Annual performance and salary review
• Employee share options

Flexibility

While this role will require some onsite and inperson time much of what we do is structured for hybrid work. We more highly value excellent work rather than an onsite work environment.

This role assumes a typical 37.5 working week centred around a set of core working hours but we can offer extra flexibility for candidates with specific 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.

Connecting physical to digital.

Realtime solutions for the construction industry.