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CFD Jobs Database - Job Record #19641

Job Record #19641
TitleCFD Engineer
CategoryJob in Industry
EmployerPhysicsX
LocationUnited Kingdom, London
InternationalYes, international applications are welcome
Closure Date* None *
Description:
https://jobs.lever.co/physicsx.ai/c721ecf5-0af4-47f8-8b7b-d3c1fb74b949

PhysicsX is a deep-tech company of scientists and engineers building next-
generation machine learning tools to supercharge physics simulations and 
redefine what’s possible in design and engineering.
Our technology stems from a foundation in numerical physics and high-performance 
motorsport, and today powers breakthroughs across Aerospace, Automotive, 
Semiconductors, Energy, and Advanced Manufacturing. By fusing AI with physics, 
we help leading innovators compress development cycles, enhance product 
performance, and unlock radically new design spaces. As a recognised leader in 
AI-powered simulation, we’re growing fast and expanding our platform to deliver 
even greater impact across the most complex engineering challenges of our time.
NOTE: We are currently recruiting for multiple positions, however please only 
apply for the role that best aligns with your skillset and career goals. 

The role: We are seeking a skilled Simulation Engineer with strong focus on 
computational fluid dynamics (CFD) applications across various industries. The 
ideal candidate will possess a deep understanding of fluid mechanics, heat 
transfer and multiphase modelling, and will be able to apply theoretical physics 
accurately to replicate real-world phenomena, while using optimization toolsets 
to explore design spaces efficiently and intelligently - working with us offers 
a rare opportunity to be a part of a team redefining the engineering landscape, 
with exposure to cutting-edge tools at the intersection of physics and machine 
learning. 

What you will do

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.

What you bring to the table

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 customer
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 stills

What we offer

Be part of something larger: Make an impact and meaningfully shape an early-
stage company. Work on some of the most exciting and important topics there are. 
Do something you can be proud of!

Work with a fun group of colleagues that support you, challenge you and help you 
grow. We come from many different backgrounds, but what we have in common is the 
desire to operate at the very top of our fields and solve truly challenging 
problems in science and engineering. If you are similarly capable, caring and 
driven, you'll find yourself at home here.

Experience a truly flat hierarchy. Voicing your ideas is not only welcome but 
encouraged, especially when they challenge the status quo.
Work sustainably, striking the right balance between work and personal life. Be 
able to properly switch off in the evening and during weekends. What matters is 
the quality of our work.

Receive a competitive compensation and equity package, in addition to plenty of 
perks such as generous vacation and parental leave, complimentary office food, 
as well as fun outings and events.
Work in a flexible setting, with the opportunity to collaborate in our lovely 
Shoreditch office and enjoy a good proportion of time working from home, if 
desired. Get the opportunity to occasionally visit our customers' engineering 
sites and experience first-hand how our work is transforming their ways of 
working.

Use first-class equipment for working in-office or remotely, including high 
power workstations and HPC. Benefit from a dynamic hardware and licence strategy 
designed to minimise user wait time and maximise result throughput.
We value diversity and are committed to equal employment opportunity regardless 
of sex, race, religion, ethnicity, nationality, disability, age, sexual 
orientation or gender identity. We strongly encourage individuals from groups 
traditionally underrepresented in tech to apply. To help make a change, we 
sponsor bright women from disadvantaged backgrounds through their university 
degrees in science and mathematics.  
Contact Information:
Please mention the CFD Jobs Database, record #19641 when responding to this ad.
NameAndy Salmon
Emailandy.salmon@physicsx.ai
Email ApplicationNo
URLhttps://jobs.lever.co/physicsx.ai/c721ecf5-0af4-47f8-8b7b-d3c1fb74b949
Record Data:
Last Modified13:12:14, Tuesday, April 08, 2025

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