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Senior Engineer

4 months ago


Oxford Oxfordshire, United Kingdom Oxa Full time €3,000

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).
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. 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.
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 its understanding of its environment.
As a Senior Software Engineer in Trajectory Planning, 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 planning the spatio-temporal trajectories that manifest the desired actions that the AV is executing in the presence of other actors while obeying traffic rules. Collaborate with your Team Lead and team members to solve Spatio-Temporal motion planning problems, including off-the-shelf solver evaluation and custom solver implementation.
Collaborate with the Decision Making team to transcribe nuanced manoeuvres in complex on- and off-road environments into generalised Trajectory Planning problems.
Contribute to the development of high quality functionality and APIs that allow the Planner functionality to be used as a building block for on-vehicle capabilities.
Create appropriate metrics and tools to measure and benchmark the performance of Planners deployed on various AV platforms.
Contribute significantly to the engineering lifecycle, including scoping, design, implementation, testing, deployment, and maintenance of your team's work.
Influence technical strategy within the Planning Team, ensuring alignment with your Team Lead and your counterparts in other teams.
Positively impact product quality, customer experience, and maintainability, and take on projects that improve team processes and solutions.
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.
PhD in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with 2+ years of professional experience is desired
MS in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with 4+ years of professional experience is acceptable
Extensive hands-on experience of optimisation-based trajectory planning
Experience with sampling-based trajectory planning approaches
Experience with trajectory planning problem formulation and problem transcription
~ Modern C++ algorithm development and deployment, ideally in a production environment (including STL and common testing frameworks)

Experience with iLQR (algorithm,implementation / utilisation)
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. Competitive salary, benchmarked against the market and reviewed annually
~ Hybrid and/or flexible work arrangements
~ An outstanding £3,000 flexible benefits including private medical insurance, critical illness coverage, life assurance, EAP, group income protection
~ Funded relocation support
~ Fully funded Visa sponsorship if required
~ A salary exchange pension plan
~25 days’ annual leave plus bank holidays
~ A pet-friendly office environment
~ We believe that diversity of thought and experience is a key driver of innovation. So ours is a culture that celebrates humanity in all its diversity and richness, and uses difference as fuel to grow and succeed together. 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.
If you are bold, creative and hyper skilled, come and create the future of autonomy with us at Oxa.
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