Full Stack Developer
NavLive is a newly formed spin-out from the University of Oxford and is 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. Our tech can infer changes in in-situ and provide data to facility or site decision-makers. We want to recruit a full stack developer to help us develop and improve our 3D mapping technology - working with lidar and computer vision sensing to produce more accurate and immersive reconstructions.
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?
Tasks
Your role as a Full Stack Developer will involve:
- Creating responsive web interfaces for both desktop and mobile, and optimising the user journey. Working on the back-end to ensure APIs and data pipelines are executed correctly. This is a full stack role and the candidate should be equally comfortable throughout the entire stack.
- Writing software for a real-time responsive mobile UI and web portal. The ideal candidate will have experience with common UI frameworks and 3D visualisation tools such as Three.js.
- Setting up cloud infrastructure and supporting deployment and automation.
- Designing architecture and being a technical authority on web applications in the team.
- 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.
- 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.
Requirements
Key requirements for this role:
- Aptitude and interest in problem-solving and debugging - the acumen of rolling up your sleeves to fix and triage technical issues.
- Ability to bridge UI and backend development both in cloud and local environments
- Experience with version control such as git
- Experience with backend technologies such as gRPC, Django, FastAPI and/or Flask
- Experience with frontend development with React and Typescript
- 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)
- Proficient in using Docker for containerisation and deployment.
- Adaptable and quick to learn new technologies as needed.
The following are desirable skills and traits:
- 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.
Benefits
For the successful candidate, we can offer:
- Competitive salary offering: 45k - 60k 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
- Annual performance and salary review
Flexibility
This role involves on-site and in-person time, but we structure our working week to enable hybrid work arrangements (visiting the office 1-2 days per week). We value excellent work more highly than always on-site working.
Our working week is centred around 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