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Simulation Engineer


London, GB

  • Job Type: Full-Time
  • Function: Engineering Hardware
  • Industry: Industrial Automation
  • Post Date: 09/18/2023
  • Website:
  • Company Address: 1 Norton Folgate, E1 6DB London, UK

About CloudNC

We’re on a mission to enable efficient manufacturing processes with a single click - creating a clean and sustainable industrial revolution that accelerates humanity.

Job Description

At CloudNC we are ambitiously and successfully developing deep technology that automates CNC Manufacturing. We have a factory running commercially to produce intricate and high-specification work for our clients which allows us to also tie in our software to a tangible, physical output.
In excess of £150 Bn worth of components are produced using CNC machines every year. The industry is reliant heavily on human input which is slow and costly. Demand and value of the industry is rapidly growing, as are the increased demands on a vanishing workforce (50% will retire within the next decade).
We’re on a mission to automate manufacturing and create a clean and sustainable industrial revolution that accelerates humanity.
We are driving a manufacturing revolution and we have achieved notable success and world firsts where others have failed. We are ambitiously scaling up having closed on our Series B, achieving partnerships and investments by the best possible organisations in our respective industries – including Autodesk (multi-industry software world leader), Lockheed Martin (the largest aerospace/defence company in the world), British Patient Capital (arm of the UK Gov’s British Business Bank focused on pushing British R&D in large potential large scale tech companies). You can find out more on these partnerships here:
Bloomberg - CloudNC Series B
British Patient Capital - CloudNC Investment
Watch our Series B announcement video here!
We have been featured in Forbes and technology linked organisations (e.g. TechCrunch, The Engineer etc.), we were awarded and named as Technology Pioneers by the World Economic Forum and our founders are listed in the Forbes 30 under 30.
What it’s like to work together.
We are embarking on a strong scaling strategy and pivotal to this success are the people.
We are guided by the mission and by being humans of empathy, intellectual curiosity, collaboration, and continuous improvement/development (of self and the team).
We are over 90 people strong, with the ambition to double this headcount in the near future. We encourage your thoughts and feedback to help shape the company, whether through direct correspondence, feedback platforms, open door time and other channels.
We operate a “flexible first” environment, our HQ office is based in London and our modern factory is based in Chelmsford, Essex.
The Role
As we continue to expand our Autonomous Machining Team (AMT), we are looking for an experienced Simulation Engineer.
The purpose of this role is to combine engineering, physics and materials principles with rigorous problem solving to develop models to underpin our autonomous manufacturing technologies, serving both internal and external customers.
The Simulation Engineer will work as part of the Factory R&D team, collaborating with software engineers, production engineers, machinists and product owners in the following responsibilities:
To develop parameterisable, physically-based models of phenomena where the underlying physics is sufficiently well understood. This is often done from first-principles.
To develop data driven, parameterisable models where physical models are not suitable.
To gain, through design of suitable experiments and analysis of rig and machine data, fundamental understanding of the machining process.  
To apply multi-objective optimisation techniques to maximise efficiency, quality, and repeatability of end-to-end production processes.
To apply suitable methods to understand correlation/causality between observed phenomena, and for the rapid identification of abnormal behaviour.
Skills and Experience sought.
Developing and correlating robust simulation models of aspects of the production process (currently focussing on milling) through experimentation, analytics, and use of existing research, specifically in the following areas:
Propose, implement and test new models - or refinements to existing models - associated with key metrics such as tool wear, finished surface geometric accuracy, surface quality, and vibration. 
Understand and critically appraise existing models and their inherent assumptions and approximations.
Work with other stakeholders to identify key areas of the model for improvement, typically driven by potential value to end-users.
Conduct research to support applicable model development and analytics techniques.
Assist with hands-on development, commissioning and running of rigs required to gather data to support model development.
Contribute to planning and reporting activities in order to support business and specification development, including delivering presentations to key stakeholders. Share knowledge and understanding of new techniques used.
Simulation Engineer Requirements:
Outstanding academic background with MEng or PhD in Mechanical Engineering or related discipline (high 2:1 or above.)
Ability to quickly understand complex problems, conduct experiments to test hypotheses, and implement a route to solve them.
Ability to clearly and concisely communicate technical information.
Experience using and developing models in Python (Maple, Julia, Matlab, also useful.) Experience of typical software development processes and tools is useful.
Ability to manage and prioritise time on concurrent projects while working with different stakeholders.
Equal opportunities statement.
We are proud to be an equal opportunity employer, valuing individuality and embracing all people. The success of CloudNC is a result of diversity of thought. We recognise this comes from people truly belonging. We encourage different perspectives and skills to collaborate towards our mission – disrupting the manufacturing industry. We celebrate diversity and continually improve our inclusivity efforts.

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