Oxa is enabling the transition to self-driving vehicles through an initial focus on the most commercially advanced sector; We are home to some of the world's leading experts on autonomous vehicles, creating solutions such as Oxa Driver, equipping vehicles with full self-driving functionality; Oxa MetaDriver, using Generative AI to accelerate and assure the safety of deployments; and Oxa Hub, a set of cloud-based offerings for autonomous fleet management. Our technology is being deployed across the UK and the U.Our purpose is to change the way the Earth moves, through an uncompromising focus on safety, efficiency and explainability of our AI approaches. You will join our growing Planning Team, where we design, implement, test, and deploy the Engine that defines the behaviour and motion of Oxa's Autonomous Vehicles (AVs), based on our understanding of the environment. As a Staff Engineer in Trajectory Planning, you will be responsible for designing, implementing, testing, and deploying the trajectory planning software that generates the trajectories for the AV. Specifically, this role will focus on building a robust and efficient trajectory generation approach to achieve the desired AV maneuvers in a comfortable, human-like, and safe manner for different on-road and off-road applications. Lead the development, integration, and deployment of trajectory planning software that robustly and efficiently generates AV trajectories, including off-the-shelf solver evaluation and custom solver implementation. Take ownership of the trajectory planning approach and architecture with a focus on high quality functionality and APIs that allow the trajectory planner component to be used as a building block for various on-vehicle applications. Create appropriate metrics and tools to measure and benchmark the performance of the trajectory planner deployed on various AV platforms. Own the engineering lifecycle, including scoping, design, implementation, testing, deployment, and maintenance of your team's work. Influence the technical strategy within the Planning Team, ensuring alignment with your counterparts in other teams. Spearhead 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. Positively impact product quality, customer experience, and maintainability, and identify projects that improve team processes and solutions. PhD in related field (Mech Eng, Aerospace, Comp Science, Robotics, Applied Mathematics) with 3+ years of industry experience is desired MS in related field (Mech Eng, Aerospace, Comp Science, Robotics, Applied Mathematics) with 5+ years of industry experience is acceptable Extensive hands-on experience of optimisation-based trajectory planning and control applications to autonomous driving. Deep practical understanding of nonlinear optimisation techniques Experience with different trajectory planning problem formulations Prior tech lead experience in a software development team focused on trajectory optimisation or vehicle/robot control (preferably within autonomous driving), guiding and mentoring team members. Strong C++ and Python software development skills, including modern C++ algorithm development and deployment in a production environment. Familiarity with modern software engineering practices, including automated testing and continuous integration. Experience with sampling-based trajectory planning approaches ILQR, SQP, or Differential Dynamic Programming experience (algorithm, implementation, and deployment)~ Experience with RSS (Responsibility-Sensitive Safety), SFF (Safety Force Field), or related concepts. Long Term Disability Insurance Dental Cover Health Spending Account Personal Spending Account 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. #