CFD Engineer at PhysicsX

England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace, Automotive, Semiconductors, Energy, Advanced ManufacturingIndustries

Requirements

Enthusiasm and deep knowledge in computational fluid dynamics (CFD) and related physics, with the ability to translate that expertise into accurate real-world replication across a wide range of industries and applications
Ability to identify and define client needs, and effectively deliver projects to both internal teams and customers
Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly
Operation of leading CFD platforms, especially STAR-CCM+ and OpenFOAM, but also Fluent/CFX
Excellent collaboration and communication skills - with teams and customers alike, with the ability to efficiently manage client expectations and deliver accordingly
Advanced skills in meshing, including mesh manipulation and adaptive/dynamic mesh techniques
Experience in workflow automation, parametric CAD and coupling with other software/code for Co-simulation and optimization
Additional experience in other numerical methods, e.g. Finite Element Analysis (FEA), or Electromagnetics, with an interest in data science or machine learning
Expertise in model correlation and real-world validation
Ideally advanced Python and Java coding skills

Responsibilities

Set up and build complex multi-physics models to simulate and understand complex real-world phenomena
Automate simulation pipelines to enable fast optimization and parametric CAD coupling
Use on-premise HPC and cloud resources to accelerate high-fidelity models beyond smart model setup and meshing choices
Own the delivery of technical work streams, potentially mentoring more junior colleagues
Work at the intersection of CAE and data science, generating highly accurate results and predictions in conjunction with advanced machine learning and deep learning models
Work closely with data scientists, machine learning engineers, and clients to develop an understanding of the physics and engineering challenges being solved
Continuously apply and improve engineering best practices and standards, coaching colleagues in their adoption

Skills

Key technologies and capabilities for this role

CFDFluid MechanicsHeat TransferMultiphase ModellingMulti-Physics SimulationHPCCloud ResourcesMeshingSimulation AutomationOptimizationParametric CAD

Questions & Answers

Common questions about this position

What is the salary for the CFD Engineer position?

This information is not specified in the job description.

Is this CFD Engineer role remote or office-based?

This information is not specified in the job description.

What skills are required for the CFD Engineer role?

The role requires deep knowledge in computational fluid dynamics (CFD) and related physics, operation of leading CFD platforms especially STAR-CCM+ and OpenFOAM, strong problem-solving skills, and the ability to set up complex multi-physics models and automate simulation pipelines.

What is the company culture like at PhysicsX?

PhysicsX offers a collaborative environment at the intersection of physics and machine learning, with opportunities to work closely with data scientists, machine learning engineers, and clients, own technical work streams, mentor junior colleagues, and redefine the engineering landscape using cutting-edge tools.

What makes a strong candidate for the CFD Engineer position?

A strong candidate has enthusiasm and deep CFD expertise to replicate real-world phenomena across industries, proficiency in STAR-CCM+ and OpenFOAM, strong problem-solving skills, and the ability to identify client needs and deliver projects effectively—apply only for the role that best aligns with your skillset.

PhysicsX

AI-driven simulation for advanced industries

About PhysicsX

PhysicsX enhances the design and operation of machines in advanced industries using artificial intelligence and simulation technologies, focusing on sectors like renewable energy, healthcare, and transportation. Their AI-driven simulations help clients, including medical device manufacturers and aerospace companies, improve efficiency and reduce emissions. The company operates on a project-based and long-term contract model, providing specialized services that lead to significant performance improvements. With a leadership team experienced in machine learning and engineering, PhysicsX aims to achieve engineering breakthroughs that positively impact society.

London, United KingdomHeadquarters

N/AYear Founded

$31.1MTotal Funding

SERIES_ACompany Stage

Energy, AI & Machine Learning, Aerospace, HealthcareIndustries

11-50Employees

Benefits

Company Equity

Paid Vacation

Parental Leave

Flexible Work Hours

Remote Work Options

Risks

UK's AI startup surge may dilute PhysicsX's market share.

Dependence on AWS poses data security and service reliability risks.

Rapid AI advancements require continuous innovation to avoid obsolescence.

Differentiation

PhysicsX uses AI to revolutionize machine design in climate and health sectors.

Their LGM-Aero model reduces aerospace concept development time from months to hours.

PhysicsX's Ai.rplane app offers public access to advanced aerodynamics tools.

Upsides

Collaboration with Siemens enhances PhysicsX's capabilities in AI-based aerodynamics simulations.

$32 million Series A funding boosts growth and research expansion for PhysicsX.

UK's AI market growth offers expansion opportunities for PhysicsX.

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