Job Description

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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\xe2\x84\xa2 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 its understanding of its environment.

Your Role

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. You will work closely with Decision Making and Controls to plan and execute manoeuvres in a smooth, comfortable, and precise manner.

In this role, you will:

• 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.
• Collaborate with the Controls team to ensure Smooth, Comfortable, Precise manoeuvre execution for on- and off-road applications.
• 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.
• Work with customers, stakeholders, and peers to ensure the right solutions are delivered, and actively contribute to resolving disagreements through constructive dialog.
• 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.
• 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.
• 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.

Requirements:

What you need to succeed:

• 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)

Extra kudos:

• Experience with technical and people leadership / management experience
• Dynamic Programming experience
• Knowledge of model Predictive Control, MPC (algorithm)
• Experience with iLQR (algorithm,implementation / utilisation)
• Experience with RRT (algorithm)
• Experience with vehicle dynamics and modelling
• 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
• Company share programme
• Hybrid and/or flexible work arrangements
• An outstanding \xc2\xa33,000 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
• Safe assigned spaces for team members with individual and diverse needs

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 .

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.

Oxbotica