4 of 4 Remote/Hybrid Kinematics Jobs in England

Guidance, Navigation and Control (GNC) Algorithms Engineer

Location
East Hagbourne, England, United Kingdom
Experience with software development in C/C++ Experience working with automated testing, continuous integration and software quality assurance processes Knowledge of robotics dynamics, kinematics and control All applicants must have an independent right to work in the UK (without sponsorship) at the time of application. Benefits Competitive base salary ...

3DX Solution Architect - Design tools for Engineering

Hiring Organisation
Airbus Group
Location
Bristol, Gloucestershire, United Kingdom
Salary
£ 60 K
aircraft program. Your scope will focus on the Engineering process for the physical product—specifically Product Structure and System Installation—covering design authoring, tolerancing, kinematics, quality checks, and digital twin scopes to enable a single, collaborative design process that produces a fully validated virtual representation of the product.HOW YOU WILL ...

Senior Robotics Engineer

Location
Bristol, England, United Kingdom
objects. Handle the realities of transparent liquids, reflective glassware, flexible tubing, and equipment that wasn't designed for robotic interaction. Define and execute the kinematics, dynamics, and control approaches that make manipulation reliable in the real world. Perception-to-Action Integration Integrate Lumi's perception outputs into working control loops … depth data to guide robotic behaviour Strong software engineering in Python, C++ or both Working extensively with ROS or ROS2 Solid understanding of kinematics, dynamics, and control theory Working hands‐on with hardware, spending significant time debugging real systems rather than only writing code Operating self-directed in roles with ...

Founding Machine Learning Engineer, Robot Learning

Hiring Organisation
Searchability
Location
London, South East England, United Kingdom
Employment Type
Full-Time
Salary
£60,000 - £80,000 per annum
cannot replay the motion. You have to capture what the picker actually intended, approach, grip pressure, the twist, and translate that onto different kinematics without losing the skill. The output is not a paper. It is a policy learned from human demonstration, running on real hardware, that picks the fruit … without damaging it. WHAT YOU WOULD BE BUILDING Egocentric hand tracking into a morphology neutral intermediate representation Retargeting onto robot hands with different kinematics to the human demonstrator Imitation policies with tactile in the control loop, not just in the training set Sim to real, sim for scale and real ...