Jobs at PhysicsX (Now Hiring) — 34 open

Senior CFD Engineer - Multiphase

London, England, United Kingdom · Hybrid

Mid level$167M raised

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for…

Skills: Multiphase CFD, DEM Modelling, Star-CCM+, OpenFOAM, Fluent

PhysicsX

Data Scientist

San Francisco, California, United States · Hybrid

$120k–$240k/yr

Mid level$167M raised

Skills: Python, NumPy, SciPy, Pandas, TensorFlow

PhysicsX

Executive Assistant

New York, New York, United States · Hybrid

$100k–$125k/yr

Senior$167M raised

Skills: Diary Management, Executive Support, Event Planning, Travel Coordination, Stakeholder Management

PhysicsX

Content & Communications Strategist

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Content Strategy, Technical Writing, Editorial Planning, Storytelling, B2B Marketing

PhysicsX

Principal Machine Learning Infrastructure Engineer

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Distributed Training, PyTorch, Kubernetes, SLURM, Python

PhysicsX

Staff Machine Learning Software Engineer, Research

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Deep Learning, Probabilistic Methods, Distributed Training, High-Performance Computing, MLOps

PhysicsX

Senior Simulation Engineer - Electromagnetics Specialist

Singapore, Singapore · Hybrid

Mid level$167M raised

Skills: Electromagnetic Simulation, Low-Frequency Electromagnetics, High-Frequency Electromagnetics, Ansys HFSS, Ansys Maxwell

PhysicsX

Machine Learning Engineer

Singapore · On-site

Mid level$167M raised

Skills: Machine Learning, Python, PyTorch, Pandas, FastAPI

PhysicsX

Senior AI Engineer - Applied

London, England, United Kingdom · Hybrid

Mid level$167M raised

Skills: AI Agents, LLM Orchestration, Python, Go, TypeScript

PhysicsX

Senior Simulation Data Engineer

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Data Engineering, HPC Engineering, Simulation Orchestration, Python, Kubernetes

PhysicsX

Principal Research Scientist

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Deep Learning, Probabilistic Methods, Python, PyTorch, CUDA

PhysicsX

Simulation Engineer - FEA

New York, New York, United States · On-site

Mid level$167M raised

Skills: FEA, Simulation Engineering

PhysicsX

Principal Agentic Engineer

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Python, Go, TypeScript, Kubernetes, Docker

PhysicsX

Machine Learning Engineer

San Francisco, California, United States · Remote OK

$150k–$190k/yr

Mid level$167M raised

Skills: Machine Learning, Python, 3D Point Cloud Processing, Mesh Data Manipulation, MLOps

PhysicsX

Forward Deployed Software Engineer

San Francisco, California, United States · On-site

$150k–$250k/yr

Senior$167M raised

Skills: Software Engineering, API Design, Python, FastAPI, Kubernetes

PhysicsX

Office Manager

New York, New York, United States · On-site

$100k–$125k/yr

Mid level$167M raised

Skills: Office Management, Facilities Management, Vendor Management, Health & Safety Compliance, Employee Experience

PhysicsX

Senior CFD Engineer

Singapore, Singapore · On-site

Mid level$167M raised

Skills: CFD, Fluid Mechanics, Heat Transfer, Multiphase Modelling, Star-CCM+

PhysicsX

Senior Software Security Developer – Core Platform Services

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Secure Coding, Authentication, Authorization, RBAC/ABAC, OAuth

PhysicsX

Senior FEA Engineer

Singapore · On-site

Mid level$167M raised

Skills: FEA, Structural Mechanics, Multi-physics Modelling, NASTRAN, ABAQUS

PhysicsX

Software Engineer - Go & Python (Core Services)

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Golang, Python, OAuth 2.0, OIDC, SAML

Senior CFD Engineer - Multiphase

PhysicsX

London, England, United Kingdom • Hybrid

Apply

Mid levelHybrid · 3 days in office

Tired of cold applications?

Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.

Full-time
postgraduate degree
Equity Options, 10% Employer Pension Contribution, Free Office Lunches, Enhanced Parental Leave, YellowNest Nursery Scheme, 25 Days Annual Leave
Posted 1d ago
~40 hrs/week

Responsibilities

Build complex multi-physics and coupled CFD-DEM models to solve engineering challenges for global customers. Collaborate with data scientists to generate high-quality simulation datasets for training AI and machine learning surrogate models.

Requirements

Requires 3-5 years of industry experience with a postgraduate degree in mechanical, chemical, or process engineering. Proficiency in CFD tools (Star-CCM+, OpenFOAM, or Fluent) and DEM software is essential.

Full job description

About us

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Who We’re Looking For

You are a problem solver and builder, passionate about creating practical solutions that help customers make better engineering decisions. You can grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers, often on-site, to develop high-fidelity simulation models that feed into AI tools that are both useful and used.

You bring deep expertise in fluid mechanics, heat transfer, and multiphase modelling, including particle-laden flows, fluidised beds, and coupled CFD-DEM. You are highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent, and experienced with DEM codes such as EDEM, LIGGGHTS, or Rocky. You are adept at automating these tools to create scalable optimisation workflows. Experience in parametric CAD modelling (NX or CATIA) and coding in Python (or the ability to pick up new programming languages quickly) is an advantage.

With 3–5 years of industry experience (post-MEng, MSc, or PhD) in a commercial, non-research environment, you are ready to hit the ground running. You are confident setting up simulations independently, interpreting complex results with rigour, and making sound decisions grounded in solid engineering judgement.

What you'll do

Independently build complex multi-physics models, from geometry clean-up and meshing through to simulation, post-processing, and integration of experimental data for validation, spanning single-phase, multiphase, and coupled CFD-DEM regimes.
Develop and validate DEM models of granular and particle-laden systems, including fluidised beds, pneumatic conveying, mills, aerosols, suspensions and coating processes, applying appropriate contact models, size distributions, and coupling strategies.
Build robust parametric CAD models coupled with simulation pipeline automation to execute advanced design optimisation and DoE studies across large parameter spaces.
Partner with customers to address complex engineering challenges through advanced simulation and AI solutions. Present results clearly, recommend actionable next steps, and balance accuracy with efficiency under real project deadlines.
Work at the intersection of CAE and data science to generate high-quality simulation datasets for training machine learning and deep learning surrogate models. Apply smart sampling strategies to capture the design space efficiently and reduce computational cost.
Leverage Flux (our cloud platform) and on-premise HPC resources to accelerate high-fidelity modelling, going beyond standard setup practices to achieve genuine performance gains at scale.
Continuously improve engineering best practices, adapting simulation model setups and outputs to support the development of deep learning surrogates and physics-informed ML models.
Combine project leadership with a commitment to mentoring junior colleagues, contributing to a culture of collaboration, rigour, and shared growth.
Travel globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work on-site with customers building solutions together.

What we're looking for

Core simulation skills

Multiphase CFD: VOF, Euler–Euler, Euler–Lagrange, or mixture models
DEM modelling: EDEM, Rocky, LIGGGHTS, or equivalent
Coupled CFD–DEM workflows for particle–fluid systems
Heat and mass transfer modelling
Reacting flows and phase-change processes (advantageous)
Proficiency in Star-CCM+, OpenFOAM, or Fluent

Engineering and workflow

3–5 years post-graduate experience in industry (not research)
MEng, MSc, or PhD in mechanical, chemical, or process engineering
Python scripting and simulation automation
DoE, surrogate modelling, and design space exploration
Parametric CAD modelling (NX or CATIA advantageous)
Strong written and verbal communication with technical and non-technical audiences

Please note, this role is based in London, working 2-3 days per week in our central office.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

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.

We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Related keywords

CFDDEMMultiphase FlowFluidised BedsPneumatic ConveyingNXCATIAEDEMLIGGGHTSRockyPythonAIMachine LearningDeep LearningSurrogate ModelsHPC

About PhysicsX

LinkedIn Visit site

Build beyond human imagination.

Industry: Software Development
Company size: 51-200 employees
Headquarters: London
LinkedIn followers: 24,774
Total funding: $167M

PhysicsX is a physical AI company on a mission to accelerate innovation and overhaul what engineering and manufacturing look like today. We are building a new software stack to deliver deep AI enablement across the entire engineering lifecycle. PhysicsX partners with leading organizations in aerospace & defense, automotive, semiconductors, materials, and energy, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London and New York. We are currently recruiting for multiple positions, however, please only apply for the role that best aligns with your skillset and career goals.

Offices: London, GB

SimulationInformation TechnologySemiconductorSoftwareArtificial Intelligence (AI)Machine Learning

View all jobs at PhysicsX

About PhysicsX

LinkedIn Visit site

Build beyond human imagination.

Industry: Software Development
Company size: 51-200 employees
Headquarters: London
LinkedIn followers: 24,774
Total funding: $167M

Offices: London, GB

SimulationInformation TechnologySemiconductorSoftwareArtificial Intelligence (AI)Machine Learning

View all jobs at PhysicsX

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Jobs at PhysicsX (Now Hiring) — 34 open

PhysicsX

Senior CFD Engineer - Multiphase

London, England, United Kingdom · Hybrid

Mid level$167M raised

Skills: Multiphase CFD, DEM Modelling, Star-CCM+, OpenFOAM, Fluent

PhysicsX

Data Scientist

San Francisco, California, United States · Hybrid

$120k–$240k/yr

Mid level$167M raised

Skills: Python, NumPy, SciPy, Pandas, TensorFlow

PhysicsX

Executive Assistant

New York, New York, United States · Hybrid

$100k–$125k/yr

Senior$167M raised

Skills: Diary Management, Executive Support, Event Planning, Travel Coordination, Stakeholder Management

PhysicsX

Content & Communications Strategist

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Content Strategy, Technical Writing, Editorial Planning, Storytelling, B2B Marketing

PhysicsX

Principal Machine Learning Infrastructure Engineer

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Distributed Training, PyTorch, Kubernetes, SLURM, Python

PhysicsX

Staff Machine Learning Software Engineer, Research

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Deep Learning, Probabilistic Methods, Distributed Training, High-Performance Computing, MLOps

PhysicsX

Senior Simulation Engineer - Electromagnetics Specialist

Singapore, Singapore · Hybrid

Mid level$167M raised

Skills: Electromagnetic Simulation, Low-Frequency Electromagnetics, High-Frequency Electromagnetics, Ansys HFSS, Ansys Maxwell

PhysicsX

Machine Learning Engineer

Singapore · On-site

Mid level$167M raised

Skills: Machine Learning, Python, PyTorch, Pandas, FastAPI

PhysicsX

Senior AI Engineer - Applied

London, England, United Kingdom · Hybrid

Mid level$167M raised

Skills: AI Agents, LLM Orchestration, Python, Go, TypeScript

PhysicsX

Senior Simulation Data Engineer

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Data Engineering, HPC Engineering, Simulation Orchestration, Python, Kubernetes

PhysicsX

Principal Research Scientist

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Deep Learning, Probabilistic Methods, Python, PyTorch, CUDA

PhysicsX

Simulation Engineer - FEA

New York, New York, United States · On-site

Mid level$167M raised

Skills: FEA, Simulation Engineering

PhysicsX

Principal Agentic Engineer

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Python, Go, TypeScript, Kubernetes, Docker

PhysicsX

Machine Learning Engineer

San Francisco, California, United States · Remote OK

$150k–$190k/yr

Mid level$167M raised

Skills: Machine Learning, Python, 3D Point Cloud Processing, Mesh Data Manipulation, MLOps

PhysicsX

Forward Deployed Software Engineer

San Francisco, California, United States · On-site

$150k–$250k/yr

Senior$167M raised

Skills: Software Engineering, API Design, Python, FastAPI, Kubernetes

PhysicsX

Office Manager

New York, New York, United States · On-site

$100k–$125k/yr

Mid level$167M raised

Skills: Office Management, Facilities Management, Vendor Management, Health & Safety Compliance, Employee Experience

PhysicsX

Senior CFD Engineer

Singapore, Singapore · On-site

Mid level$167M raised

Skills: CFD, Fluid Mechanics, Heat Transfer, Multiphase Modelling, Star-CCM+

PhysicsX

Senior Software Security Developer – Core Platform Services

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Secure Coding, Authentication, Authorization, RBAC/ABAC, OAuth

PhysicsX

Senior FEA Engineer

Singapore · On-site

Mid level$167M raised

Skills: FEA, Structural Mechanics, Multi-physics Modelling, NASTRAN, ABAQUS

PhysicsX

Software Engineer - Go & Python (Core Services)

London, England, United Kingdom · Hybrid

Senior$167M raised

Skills: Golang, Python, OAuth 2.0, OIDC, SAML

Senior CFD Engineer - Multiphase

PhysicsX

London, England, United Kingdom • Hybrid

Apply

Mid levelHybrid · 3 days in office

Tired of cold applications?

Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.

Full-time
postgraduate degree
Equity Options, 10% Employer Pension Contribution, Free Office Lunches, Enhanced Parental Leave, YellowNest Nursery Scheme, 25 Days Annual Leave
Posted 1d ago
~40 hrs/week

Responsibilities

Requirements

Full job description

About us

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

Who We’re Looking For

What you'll do

Independently build complex multi-physics models, from geometry clean-up and meshing through to simulation, post-processing, and integration of experimental data for validation, spanning single-phase, multiphase, and coupled CFD-DEM regimes.
Develop and validate DEM models of granular and particle-laden systems, including fluidised beds, pneumatic conveying, mills, aerosols, suspensions and coating processes, applying appropriate contact models, size distributions, and coupling strategies.
Build robust parametric CAD models coupled with simulation pipeline automation to execute advanced design optimisation and DoE studies across large parameter spaces.
Partner with customers to address complex engineering challenges through advanced simulation and AI solutions. Present results clearly, recommend actionable next steps, and balance accuracy with efficiency under real project deadlines.
Work at the intersection of CAE and data science to generate high-quality simulation datasets for training machine learning and deep learning surrogate models. Apply smart sampling strategies to capture the design space efficiently and reduce computational cost.
Leverage Flux (our cloud platform) and on-premise HPC resources to accelerate high-fidelity modelling, going beyond standard setup practices to achieve genuine performance gains at scale.
Continuously improve engineering best practices, adapting simulation model setups and outputs to support the development of deep learning surrogates and physics-informed ML models.
Combine project leadership with a commitment to mentoring junior colleagues, contributing to a culture of collaboration, rigour, and shared growth.
Travel globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work on-site with customers building solutions together.

What we're looking for

Core simulation skills

Multiphase CFD: VOF, Euler–Euler, Euler–Lagrange, or mixture models
DEM modelling: EDEM, Rocky, LIGGGHTS, or equivalent
Coupled CFD–DEM workflows for particle–fluid systems
Heat and mass transfer modelling
Reacting flows and phase-change processes (advantageous)
Proficiency in Star-CCM+, OpenFOAM, or Fluent

Engineering and workflow

3–5 years post-graduate experience in industry (not research)
MEng, MSc, or PhD in mechanical, chemical, or process engineering
Python scripting and simulation automation
DoE, surrogate modelling, and design space exploration
Parametric CAD modelling (NX or CATIA advantageous)
Strong written and verbal communication with technical and non-technical audiences