Job Description

Our client is a leading UK driverless vehicle and mobility company expanding internationally and on a mission to find the very best people to be part of our success and join the driverless revolution that will disrupt and transform the world of transport. Due to year on year growth they are recruiting an experienced Path & Motion Planning Engineer for it's Autonomous Vehicles R&D Team.

Roles:

• Leading with other seniors in the design, implementation and testing of different control algorithms including but not limited to optimal control methods, MPC and LQR methods, optimization-based methods, system modelling, state-space representation, and linear/nonlinear control
• Get into the vehicle and test current/new features
• Contribute to the control software architecture
• Implement robust and highly readable C++ code
• Communicate with other teams across the autonomous stack to integrate the developed algorithms
• Mentor other engineers
• High-level code documentation

Essential requirements:

• MSc or PhD (preferred) degree in Computer Science, Robotics, Mathematics or related filed
• 3+ years of experience in robotics and controls
• 3+ years of C++ software development (Python is a bonus)
• Experience working with Non-linear/linear optimal-control (MPC, LQR) and optimisation techniques (Interior-point, Gradient Descent, Lagrange Multipliers, Newton Raphson method, etc.)
• Experience with different Non-linear/linear optimisation methods Experience using ROS1&2 or any other middleware/frameworks
• Experience in autonomous vehicles or mobile robots

Nice to have requirements:

• Experience working on decision-making methods for controlling robots
• Experience working with Docker containers
• Experience with safety-critical software design
• Experience working in system modelling (system dynamics)
• Experience working in simulation environments
• Experience working with CAN bus protocol/communications
• Experience working with drive-by-wire (DBW) systems

In return, you will get a great package that includes training, development, succession planning, a structured career path and a healthy bonus related to hitting key personal and company milestones.

If joining a growing cutting-edge technology organisation with great prospects in an emerging £billion sector and working with a brilliant motivated team appeals to you, please apply with an up to date CV as soon as possible, along with your availability and your salary expectations.

Job Types: Full-time, Permanent

Benefits:

• Company events
• Company pension

Schedule:

• Day shift
• Monday to Friday

Supplemental pay types:

• Bonus scheme
• Performance bonus

Ability to commute/relocate:

• Coventry, CV1 2HG: reliably commute or plan to relocate before starting work (preferred)

Application question(s):

• Why are you looking for change?
• What would be the relevant experience/qualification for this position?
• Any key achievements in your current role?
• Putting money to one side, what else motivates you?

Work authorisation:

• United Kingdom (preferred)

Work Location: In person

Reference ID: ICAV- SSEC-29-04-2023

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