About Us

At Hyper, we are revolutionising how people experience the real world. Based in the heart of London, our cutting-edge indoor location technology is setting new standards in accuracy and scalability. We’ve successfully deployed our solution in IKEA stores across Europe, outperforming traditional methods like Bluetooth beacons with a blend of Augmented Reality/SLAM sensors and WiFi. Our innovative approach delivers five times the accuracy of existing solutions, providing a seamless and scalable user experience. This is indoor location that actually works. Only UK based applications will be accepted, as this is a role that requires close collaboration and in person meetings with the UK wider team.

Our Vision

We aim to build the infrastructure that powers real-world interactions in retail and beyond, transforming commercial spaces with precise and reliable location technology.

Culture

Our team of 15-20 passionate product experts thrives in a collaborative and empowering environment. We encourage our members to explore and take ownership of initiatives that ignite their interest. Weekly collaborative sessions and real-world testing of new features keep us dynamic and innovative. We meet one to two times a week in London as a team to align, prioritise, celebrate and drive projects forward!

The Role
As our Location Technology Lead, you will:

● Own and Drive Strategy: Define and lead the location technology strategy

● Collaborate: Work with cross-functional teams, including mobile and platform

● Analyse and Iterate: Define key metrics, analyse data, and implement improvements to enhance

the technology continuously

Who You Are?

We are looking for someone with:

● Technical Innovator: Demonstrated ability to develop groundbreaking solutions in complex, data-driven environments, potentially from fields such as robotics, autonomous vehicles, or advanced sensor technologies.

● Hands-On Technical Leader: Proven ability to design, develop, and deploy complex systems including data collection, processing, visualisation, and algorithm optimisation.

● Innovative Problem Solver: Track record of R&D excellence, pioneering new techniques and improvements in areas such as sensor fusion, motion data integration, and machine learning for real-time applications.

● Python and ML Proficient: Skilled in Python, Jupyter Notebooks, and PyTorch for R&D and multi-dimensional operations. Experience with genetic algorithms for optimising ML models.

● Collaborative Team Player: Adept at working with Android, web, and backend teams to integrate solutions, ensure data integrity, and optimise performance.

● Visualisation and Data Analysis Expert: Proficient in building tools for visualising and analysing data, with a focus on ensuring accuracy and clarity in tracking user movements.

● Performance Optimiser: Experienced in using tensors and other techniques for fast computation and performance optimisation.

● Metrics-Driven Communicator: Capable of selecting key metrics, visualising data to evaluate effectiveness, and clearly communicating progress and results to the wider team.

● Future-Oriented Developer: Enthusiastic about R&D for future advancements, including background location tracking, enhanced particle filters, and multi-platform integration.

● Other areas of expertise that may be a good fit for this role include: extensive experience in robotics, robotics motion, SLAM technology and particle filtering.

Working With Us

● Location: Based in London with weekly in-person meetings each week

● Flexibility: Global WeWork membership with unlimited access

● Equity: Share in the success of our seed-stage startup tackling a significant market

opportunity

● Healthcare: Private healthcare with Vitality

● Other: Access to thousands of high-street and other discounts, cycle to work scheme

and a home office budget

Please let us know if you have any questions and again, please only mention if you are based in the UK as this role requires close collaboration with other members of the team, in-person.

Department

Mobile

Locations

London

Remote status

Hybrid Remote