Job Description
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.
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:
- Contribute to the development, integration, and deployment of algorithms that enable AVs to navigate complex on-road environments.
- 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 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 through interviewing and engaging in recruiting outreach for your team.
Requirements
What you need to succeed:
- MS in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) is desired
- BS in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with 1+ years of professional experience is acceptable
- Exposure to Behaviour Planning, Decision Making and/or Trajectory Planning, preferably in Self Driving
- An understanding of Robotics Fundamentals, including:
- Robotics architectures
- 2D/3D Geometry & transformations
- Mechanics, kinematics, and dynamics
- Probability handling and uncertainty representation
- An understanding of trajectory optimisation techniques
- Modern C++ algorithm development and deployment, ideally in a production environment (including STL and common testing frameworks)
Extra kudos:
- A proven track record of independent development and delivery
- Exposure to automated decision making (e.g., voting schemes, lexicographical ordering, etc).
- Experience with Machine Learning
- Understanding of POMDPs (algorithm/ formulation)
- Exposure to Game Theory
- Experience with formal logic (e.g. temporal logic)
- Exposure to safety certification standards and processes
- Proven agility in fast-changing environments. As a scale-up, we’re constantly evolving so our people need to evolve too for us to succeed together.
- A customer-centric outlook. Chances are you won’t be directly customer facing, but we value people who anticipate and prioritise the needs of our customers. We call it ‘inventing on their behalf.’
The Candidate Journey: Multi-Step and Two-Way
No-one wants to feel like a square peg in a round hole, so this process is designed to give you every chance to get the measure of us, and us of you. The various stages give you every opportunity to show your unique strengths and qualities, and enables each of us to establish if we’re a good fit for the other. If the fit is good and you’re selected, you’re then in a position to do great work and thrive, which is what everyone wants.
Benefits
We provide:
- Competitive salary, benchmarked against the market and reviewed annually
- Hybrid working arrangements
- Life Insurance
- AD&D Insurance
- Long Term Disability Insurance
- Critical Illness Cover
- Extended Health Care
- Dental Cover
- Health Spending Account
- Personal Spending Account
- Employee Assistance Program
Our Culture
We believe that diversity of thought and experience is a key driver of innovation. It also makes life, and work, more interesting. So ours is a culture that celebrates humanity in all its diversity and richness, and uses difference as fuel to grow and succeed together. Everyone is welcome, everyone has a voice, everyone is valued. And our work and people are all the better for it.
Learn more about our culture here.
Why become an Oxbot?
Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times.
But as well as smarts, Oxbots have heart. Our diverse, multi-cultural crew is guided by a shared vision to bring the myriad benefits of autonomy to our customers and partners. And in a company that celebrates uniqueness as much as skill and experience, they do it with energy, conviction and a healthy dose of excitement, too.
If you are bold, creative and hyper skilled, come and create the future of autonomy with us at Oxa.
Apply
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