Degree in Aerospace Engineering
Degree in Computer Engineering
AI Robotic systems, Algorithms, C++, Decision Theory, Game theory, Geometry, Machine learning techniques, Optimization, Probability, Software Development
Your Team
You will join our Planning Team, where we design, implement, test and deploy the Engine that drives the behaviour of Oxa’s Autonomous Vehicles (AVs), based on our understanding of our environment.
Your Role
As a Software Engineer in Decision Making, you will be responsible for designing, implementing, testing, and deploying algorithms that realise the desired behaviours that the AV needs to exhibit in any particular scenario. Specifically, this role will focus on Behaviour/ Manoeuvre Planning and Selection in the presence of other actors with uncertain future actions. You will work closely with Prediction and Trajectory Planning to scalably elicit predictable, explainable behaviours in the AV.
In this role, you will:
Requirements
What you need to succeed:
Extra kudos:
Who are we?
Based in Oxford and with offices in Canada and the US, Oxa is an international startup founded in 2014 and scaling up rapidly (300+ Oxbots and growing).
As the global leader in our industry, we’re fuelled by a bold purpose: to make the Earth move better. From passenger shuttles to industrial vehicles, our operating system for Universal Autonomy™ is transforming the way people and goods are transported by enabling any vehicle, in any environment, to operate autonomously — safely, securely and efficiently.
Our technology is capturing investors’ imagination. To date we’ve raised $140 million in our Series C investment round. Accommodating growing demand from new and current shareholders, this funding is driving our expansion in North America and EMEA, and accelerating the deployment of our technology in domains where there is both urgent need and potential to scale.
Making breakthroughs in AI and deep learning since 2014, Oxa was founded with a singular vision — to build software that enables any vehicle to be self-driving, anywhere, at any time.