Oxa

Benefits:

• Competitive salary, benchmarked against the market and reviewed annually

• Company share programme

• 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

Education Requirements:

• 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

Experience Requirements:

• 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)

Responsibilities:

• 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.

Benefits:

• Competitive salary, benchmarked against the market and reviewed annually

• Hybrid working arrangements

• Life Insurance

• AD&D Insurance

• Long Term Disability Insurance

Education Requirements:

• 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

Experience Requirements:

• 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)

Responsibilities:

• 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.

Benefits:

• Competitive salary, benchmarked against the market and reviewed annually

• Hybrid working arrangements

• Life Insurance

• AD&D Insurance

• Long Term Disability Insurance

Education Requirements:

• Degree in Robotics or a related field (e.g., Computer Science, Engineering, Physics, etc.)

Experience Requirements:

• Solid foundational knowledge of Robotics technologies and how they operate

• Extensive experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes

• Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics.

• Professional experience in modern C++, including the STL and common testing frameworks

• Fluency in Python for software development

Responsibilities:

• Developing and maintaining high quality processes and APIs to generate performance signals and combine them to create meaningful performance metrics

• Building and owning the necessary tools and the Planning evaluation framework

• Contributing significantly to the engineering lifecycle, including scoping, design, implementation, testing, deployment and maintenance of your team's work

• Verifying and validating through on-road testing and scenario simulation

• Leveraging synthetic data from simulations to expand test situations