
PhysicsX · London
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 softwar...
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.
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.
and integration of experimental data for validation, spanning single-phase, multiphase, and coupled CFD-DEM regimes.
aerosols, suspensions and coating processes, applying appropriate contact models, size distributions, and coupling strategies.
studies across large parameter spaces.
clearly, recommend actionable next steps, and balance accuracy with efficiency under real project deadlines.
deep learning surrogate models. Apply smart sampling strategies to capture the design space efficiently and reduce
computational cost.
setup practices to achieve genuine performance gains at scale.
deep learning surrogates and physics-informed ML models.
rigour, and shared growth.
solutions together.
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
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.
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 As a Senior CFD Engineer – Plasma Specialist, you are a problem solver passionate about creating practical solutions that help customers make better engineering decisions. You bring deep expertise in plasma physics and excel at working directly with customers, often on-site to build high-fidelity computational models integrated into AI tools that are both useful and used. We are seeking a skilled Senior CFD Engineer with expertise in plasma physics applied to semiconductor manufacturing, including plasma etching, deposition, and surface processing. We are particularly interested in candidates with a strong background in computational plasma modeling, covering areas such as plasma chemistry, sheath dynamics, ion energy distribution, and plasma-surface interactions. Awareness of machine learning in physics-based simulation workflows is a plus. You are independent, adaptable, and experienced, able to engage rapidly with semiconductor customer teams and tackle highly niche engineering challenges without needing to learn the industry from scratch. Strong communication skills are critical, as you'll work closely with clients to define challenges, present results clearly, and co-develop solutions. If you have Plasma experience in other industries, we'd still love to hear from you! THIS ROLE In this role, you will work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the plasma-related engineering challenges we are solving. You will play a crucial role in delivering high-fidelity simulations by: * Building and owning computational plasma models for semiconductor manufacturing processes, including plasma etching, CVD/ALD deposition, and ion-driven surface interactions. * Working directly with semiconductor customers - often on-site - to scope engineering challenges, design modelling strategies, and present results in a way that drives real process decisions. * Selecting and applying the right simulation tools and fidelity level for each problem (e.g. COMSOL, HPEM, VizGlow, CFD-ACE+), and validating outputs against experimental or industrial process data. * Collaborating closely with PhysicsX Data Scientists and ML Engineers to integrate your simulation work into AI-powered workflows. * Operating independently on open-ended, highly specialised problems - scoping, executing, and delivering with minimal oversight. * 3–5 years of industry experience (post-PhD), ideally within or directly supporting the semiconductor manufacturing industry. * Proficiency in Python (or similar) for workflow automation, data handling, and integration with simulation tools. * Combining project leadership with a strong commitment to mentoring junior colleagues, contributing to a culture of collaboration, growth, and shared success. * Traveling globally (North America, Europe, Asia, Oceania) for an average of 3-4 weeks per quarter to work side-by-side with customers in building solutions on-site. As the role evolves, there are opportunities for growth as an individual contributor or technical lead, especially if you want to own increasingly complex semiconductor plasma projects and help guide the direction of future solutions. We operate on a hybrid model, with around three days per week based in our Shoreditch 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.
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 As a Senior CFD Engineer (Delivery), you are a problem solver and a builder, who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers (often directly on-site) to build CAE models that are integrated into AI-tools that are both useful and used. We're building our Singapore presence from the ground up. This is a rare opportunity to join at the founding stage of a regional team, with the autonomy to help define what this team becomes. You bring deep expertise in fluid mechanics, heat transfer, and multiphase modelling, with a solid ability to apply fundamental knowledge to real-world phenomena across a wide range of engineering applications. Highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent and adept at automating these tools to create scalable optimisation workflows that drive impactful results. Experience in parametric CAD modelling (NX or CATIA) and coding in Python/Java, (or the ability to quickly learn programming languages), is an advantage. With 3-5 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you’re ready to hit the ground running. You’re confident setting up CFD simulations independently, interpreting complex results with depth, and making informed decisions based on solid engineering judgement. THIS ROLE In this role, you’ll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the engineering challenges we are solving. You’ll play a crucial role in delivering high-fidelity simulations by: * Independently building complex multi-physics models from geometry clean-up and meshing, to simulating and post-processing complex real-world phenomena, integrating experimental data for model validation. * Building robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation, for executing advanced design optimization and DoE studies. * Partner with customers to address their most complex engineering challenges through advanced CAE & AI solutions; present results clearly, recommend actionable next steps, and balance accuracy with efficiency under tight deadlines. * Working at the intersection of CAE and Data Science to generate high-quality simulation datasets for training Machine/Deep Learning models. Leveraging data sampling techniques to efficiently capture the design space, reduce computational cost, and enhance model accuracy. * Accelerate high-fidelity modelling by using Flux (our cloud platform) and on-premise HPC resources, going beyond smart meshing and model setup to achieve real performance gains. * Continuously improving engineering best practices, adapting CFD model setups and outputs to support the development of Deep Learning surrogates. * Combining project leadership with a strong commitment to mentoring junior colleagues, contributing to a culture of collaboration, growth, and shared success. * Traveling globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work side-by-side with customers in building solutions on-site. As the role evolves, there are exciting opportunities for growth as an Individual Contributor (IC) or a Team Lead (TL), especially if you’re driven to take ownership of more complex projects and lead the direction of future solutions. 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.
Orbital is an AI-first industrial company building hardware from the atoms up. Our goal is to lead an industrial renaissance to advance critical technologies and secure our planet for generations to come. We’re starting with critical hardware for AI data centers to make them more performant and sustainable. Every Orbital product is invented with our AI platform — uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance. We have an ambitious mission and need excellent people in all our teams - AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing. Working at Orbital means working in tightly integrated, vertically integrated teams. We’re looking for people who have a love of physical technology, curiosity in AI and a desire to learn. ROLE OVERVIEW Orbital is seeking a highly skilled and innovative Senior Mechanical Engineer to design and optimize advanced Modular Data Centers. This is a Senior role within the MDC function that combines strategic input and involves hands-on participation in cutting-edge research, including design and layout of mechanical systems for data center equipment and actively participating in and conducting lab experiments to verify the validity and performance of our modular data centers. KEY RESPONSIBILITIES A lead role within Orbital for Modular Data Center design, manufacturing and deployment. As a subject matter expert, you’ll interface with existing and potential clients configuring modular deployments to best suit their needs and suggest improvements. Design for Modular Data Centers * Selection of coils, heat exchangers, chillers, compressors, pumps and other supporting components * Working with key stakeholders to recommend designs for performance, manufacturability, and ease of deployment * Compare the impact on overall efficiency of the data center of different refrigerants for the ambient design condition * Select compressors, expansion valves, and other supporting systems Coordination, Review and Approval of Technical Reports and Documentation * Review internal engineering work as well as external contractors such as CFD and FEA analysis * As the team continues to grow, this role will be responsible for the direction of intermediate engineers, drafters and designers from various disciplines that will be added to the MDC team. Miscellaneous * Participate in the evaluation and selection of potential contract manufacturers * Assist in supporting internal and external manufacturing operations including integrating feedback from various stakeholders to continuously improve our modular products * Lead role in bringing new and innovative ways to design and manufacture products WHAT WE’RE LOOKING FOR * Professional engineering designation with 7+ years of experience in the design, selection, and/or manufacturing of mechanical and electrical systems for data centers, HVAC, and large-scale cooling applications * Deep understanding of modular data center architecture — including mechanical/electrical subsystems, applicable codes, data center tiers, and best practices for efficiency and reliability * Expertise in chiller and refrigeration system selection, design and optimization * Experience with simulation tools (e.g. CFD, FEA) for thermal and fluid dynamics, and hands-on lab experience designing and executing experiments to validate mechanical system performance * Ability to interpret experimental data and translate findings into actionable design improvements WHY JOIN ORBITAL? * Competitive salary and equity package - the ability to own part of Orbital as we grow * Flexible and generous paid time off * Excellent health, dental and vision insurance plan * Regular company off-sites to the USA and beyond * The experience of working in a cutting-edge organisation dedicated to a better future Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.