Senior Simulation Engineer

4 weeks ago


Culham, Oxfordshire, United Kingdom Luffy AI Full time
About Luffy AI

Luffy AI is a pioneering high-tech startup that specializes in developing adaptive neural networks for industrial control. Our innovative technology enables manufacturers to improve productivity and save energy, while also allowing robotics companies to extend the operating envelope of their machines.

The Role

We are seeking a highly skilled and experienced Senior Simulation & Modelling Engineer to join our multidisciplinary delivery team. The team is responsible for building our suite of AI and physics model products for control and optimization of industrial equipment.

Key Responsibilities:
  • Implement mathematical models of real-world physical systems, developing our core physics engines and reference models with a focus on computational performance.
  • Assist the AI team with digital twin development, ensuring that game engines are fit for their intended uses in terms of numerical stability, performance, and accuracy.
  • Work with application engineers to capture relevant physics underpinning a customer's application, developing requirements for the physics engines.
  • Maintain good code quality standards across our physics code bases.
  • Develop visualization tools for digital twins and physics engines, alongside other developers.
  • Investigate problem areas to advance knowledge, evaluating new approximations and numerical techniques for validity and performance.
Requirements:
  • University degree in a relevant area of engineering/science (physics, maths, computer science) or an equivalent qualification.
  • 5+ years of relevant experience in one of games physics programming, digital twin development, chemical process modelling, or other physical simulations balancing performance and fidelity.
  • Skilled in software architecture with a good understanding of algorithm design, algorithmic complexity, managing computational resources, design patterns, and API design.
  • Strong understanding of numerical techniques related to physics codes, e.g. differential equation solvers, numerical integration schemes, statistical sampling, finite element methods.
  • Strong mathematical skills, including vector calculus, linear algebra, 3D geometry.
  • Strong programming skills in Python, experience with C++ desirable.
  • Ability to produce visualization tools that support simulation models (graphing and 3D visualizations, Python/JS).
  • Must be able to autonomously research and learn about new systems/processes, making and justifying approximations relevant to the simulation fidelity required.
  • Good understanding of code profiling, performance, and numerical optimization techniques.
  • Familiarity with testing frameworks and continuous integration.
  • A desire to help other people solve their problems.
  • Excellent communication skills.
Behaviours and Personal Characteristics:
  • Passionate about writing robust, efficient code that is well thought out and tested.
  • Fast learner, comfortable picking up new technologies and techniques.
  • Product-focused, good prioritization skills.
  • T-shaped person, deep expertise in a few areas but able to be a generalist when needed.
  • Team player.
  • Enjoys teaching junior staff about how to improve their modelling and code.
  • Strong organizational skills.
Benefits:
  • Full-time salary of £50k - £70k, depending on experience and capability assessment during the interview process.
  • EMI share options scheme.
  • 25 days annual leave, plus bank holidays.


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