CFD Engineer - AI-Driven Multiphysics, On-Site Impact

CFD Engineer - AI-Driven Multiphysics, On-Site Impact

Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Create high-fidelity models and optimise designs using AI-driven simulations.
  • Company: Join PhysicsX, a leader in innovative simulation technology.
  • Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
  • Other info: Work on-site in diverse locations with excellent career advancement potential.
  • Why this job: Make a real impact on cutting-edge projects while collaborating with top experts.
  • Qualifications: Experience in CFD and a passion for physics and engineering.

The predicted salary is between 63000 - 77000 £ per year.

PhysicsX is building an AI-driven simulation stack and seeks a CFD Engineer (Delivery) to craft high-fidelity models and work with customers on-site in multiple regions, with a London base and hybrid work.

You’ll collaborate with Data Scientists and ML Engineers, contribute to simulation pipelines, and develop workflows from geometry clean-up to post-processing, enabling design optimisation and DoE studies.

CFD Engineer - AI-Driven Multiphysics, On-Site Impact employer: PhysicsX

PhysicsX is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets opportunity. As a Finance Assistant, you'll gain invaluable hands-on experience in a high-growth deep-tech company, with a strong emphasis on employee development and a culture that values accuracy and proactivity. With hybrid working arrangements and a commitment to diversity and inclusion, PhysicsX empowers its employees to thrive while contributing to groundbreaking advancements in engineering and manufacturing.

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Contact Details:

PhysicsX Recruitment Team

We think you need these skills to ace CFD Engineer - AI-Driven Multiphysics, On-Site Impact

CFD Modelling
AI-Driven Simulation
Geometry Clean-Up
Post-Processing
Design Optimisation
Design of Experiments (DoE)
Collaboration with Data Scientists