Simulation Engineer
Confirmed live in the last 24 hours
PhysicsX

51-200 employees

AI-driven physics simulations for advanced industry optimization
Company Overview
PhysicsX stands out as a leading deep-tech company, leveraging machine learning to significantly expedite physics simulations, thereby opening up new avenues for optimization in physical design and engineering. Their work has far-reaching implications across a variety of critical industries such as Space, Aerospace, Medical Devices, and Renewables, with tangible societal benefits like enhancing artificial heart designs, reducing CO2 emissions, and boosting renewable turbine performance. The company's commitment to continuous improvement, trust-based relationships, and real-world implementation of their breakthrough technologies, coupled with their profitable and sustainable growth, make it an attractive workplace for engineers and scientists.
AI & Machine Learning
Energy
Aerospace

Company Stage

Series A

Total Funding

$32M

Founded

N/A

Headquarters

London, United Kingdom

Growth & Insights
Headcount

6 month growth

63%

1 year growth

313%

2 year growth

416%
Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
Java
CategoriesNew
AI & Machine Learning
Applied Machine Learning
Robotics & Autonomous Systems
Requirements
  • Degree in CFD, engineering, physics, computational science or equivalent
  • 2-4 years' experience in a CFD expert role
  • Thorough knowledge of fluid dynamics and related physics
  • Advanced skills in meshing, incl. mesh manipulation and adaptive/dynamic mesh techniques
  • Expertise in model correlation and real world validation
  • Experience in HPC and cloud solving
Responsibilities
  • Work closely with data scientists, machine learning engineers, and clients to develop an understanding of the physics and engineering challenges
  • Setup and build CFD & multi-physics models to simulate and understand complex real-world phenomena
  • Automate CFD & simulation pipelines to enable fast optimization and parametric CAD coupling
  • Develop Python/Java based APIs and interfaces for external workflow integration
  • Own the delivery of technical workstreams
  • Work at the intersection of CAE and data science, generating highly accurate results and predictions
  • Apply and improve engineering best practices and standards and coach colleagues in their adoption