Senior Software Engineer (Decision Making)

Key Skills

AI Robotic systems, Algorithms, C++, Game theory, Geometry, Leadership, Model Predictive Control-MPC, Optimization, People management, Probability, Software Development

Job Description

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 Senior 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:

• Provide technical leadership in the development, integration, and deployment of algorithms that enable AVs to navigate complex on-road environments. You will be a key contributor working closely with your Team Lead and shaping the development of the Oxa Driver.
• Develop the Engine that reasons over discrete actions and interactions with other actors, based on multi-hypothesis predictions
• Collaborate with the Routing team to incorporate longer-term and higher-level mission objectives
• Collaborate with the Trajectory Planning team to realise the actions and select the particular discrete action to be executed
• Create appropriate metrics and tools to measure and benchmark the performance of planning algorithms deployed in various environments.
• Contribute significantly to the engineering lifecycle, including scoping, design, implementation, testing, deployment, and maintenance of your team's work.
• Document and train others on your team's work, focus on improving features, and understand the business and customer value of your team's work.
• Contribute to hiring and onboarding at scale by defining role responsibilities and requirements, leading interviews, engaging in recruiting outreach for your team, and mentoring and developing new team members.

Requirements

What you need to succeed:

• PhD in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with additional professional experience is desired
• MS in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with extensive professional experience is acceptable
• Practical experience with Behaviour Planning, Decision Making and Trajectory Planning, preferably in Self Driving
• A deep understanding of Robotics Fundamentals, including:
• Robotics architectures
• 2D/3D Geometry & transformations
• Mechanics, kinematics, and dynamics
• Probability handling and uncertainty representation
• Exposure to automated decision making (e.g., voting schemes, lexicographical ordering, etc).
• A proven track record of independent development and delivery
• Modern C++ algorithm development and deployment in a production environment (including STL and common testing frameworks)
• Understanding of trajectory optimisation techniques

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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.