At a Glance
- Tasks: Design and implement algorithms for autonomous vehicle behaviour and route planning.
- Company: Oxa, a leader in autonomous vehicle technology based in Oxford.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Join a pioneering team shaping the future of autonomous vehicles and make a real impact.
- Qualifications: PhD or MS in relevant fields with experience in Behaviour Planning and Robotics.
The predicted salary is between 60000 - 80000 £ per year.
Founded in 2014, Oxa is a global leader in autonomous vehicle (AV) technology, dedicated to accelerating Industrial Mobile Autonomy (IMA). We develop advanced physical AI and robotics technology, anchored around our configurable and explainable self-driving software, Oxa Driver; development toolchain, Oxa Foundry; and fleet management software, Oxa Hub. Our solutions automate repetitive industrial driving tasks, such as the towing and carrying of goods in locations like ports, airports and manufacturing facilities, or asset and perimeter monitoring in environments such as solar farms or industrial plants.
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 route/behaviour planning with imperfect information of other actors and the environment.
Key Responsibilities
- Provide technical leadership in the development, integration, and deployment of algorithms that enable AVs to navigate complex on‑road environments.
- Take ownership of the Route Planner to incorporate longer‑term and higher‑level mission objectives in collaboration with Trajectory Planning and Hub team.
- Develop the Engine that reasons over discrete actions and interactions with other actors, based on multi‑hypothesis predictions.
- Create appropriate metrics and tools to measure and protect existing and newly developed planner features.
- Contribute significantly to the engineering lifecycle, including scoping, design, implementation, testing, deployment, and maintenance of your team's work.
- Contribute to the exploration and incorporation of automatic coding systems to existing developer workflows.
- 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.
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.
- 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.
