Who we are

Humanising Autonomy is a London-based startup that is building a global standard of how autonomous systems will interact with people.

We are building a human intent prediction application that is able to recognise and predict pedestrian behaviour using computer vision and AI. The main application is in automated and autonomous vehicles, to improve the safety, efficiency, and pedestrian interaction in different urban environments around the world.

Our current partners include Airbus, Daimler-Mercedes Benz, Cisco and Kyocera, with whom, amongst others, we are working to deploy our technology globally at a large scale.


The role

As employee number 11 you will be working very closely with our team of deep learning engineers, and will be responsible for building an SDK from our deep learning models, for integration with different software stacks.

Your work will impact how autonomous systems will interact with people - a field whose relevance is rapidly expanding, and from which you can expect a fast-moving adventure!

The role will involve large responsibility and autonomy within the company, and require the ability to work both independently as well as part of a core team of designers, data scientists, and engineers.


Essential Skills / Experience

  • C++ programming: 5 years

  • STL: 2 years

  • C++ Linux environment: 1 year

  • Concurrent programming: 2 years


Would be Useful

  • Python, and experience of integrating C++ with Python

  • Interest in AI / deep learning

  • Experience with Tensorflow

  • Experience with Graphics Hardware and Software


Qualifications

BSc/MSc degree with high level of Software Engineering (Computer Science, Engineering) or industry experience showing a similar level of thinking.


What’s in it for you

  • Working with a growing team of designers, engineers, and social scientists to shape the future

  • Have a big say in how the Company runs itself

  • Competitive salary

  • 25 days holiday per annum + bank holidays

  • Pension scheme

  • Guarantee lots of plants in the office.


Salary range £50,000 — 90,000

Dependent on experience