
PhysicsX · Singapore
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 internal and external stakeholders, 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 within bioprocess and chemical engineering
environments. You are highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent, and experienced modelling the complex
flow behaviour that arises in industrial bioprocess systems. 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 5–7 years of industry experience (post-MEng, MSc, or PhD) in a commercial 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.
including custom solver and boundary condition development.
industrial and process engineering applications.
regimes
(e.g. biokinetic, combustion, or electrochemical frameworks)
spargers, and free-surface interfaces
design optimisation and DoE studies
integration for model validation
against physical measurements
transient simulations on cloud (Flux) and on-premise resources
design space exploration and process optimisation
optimisation workflows; applying data sampling techniques (LHS, quasi-random, adaptive) to efficiently cover design space
systematically improving model fidelity
communicating results clearly, recommending actionable next steps, and balancing accuracy with efficiency under commercial
deadlines
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.
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 Principal Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used. You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products. With at least 5 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. THIS ROLE As a Principal MLE, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. You'll: * Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments. * Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence. * Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars. * Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others. * Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure. * Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site. * Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX. As a senior member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader. 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! 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 Principal Data Scientist (Algorithm Engineer) in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embeds cutting edge AI models into tools that are useful and used. You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines. With industry experience (post Masters of PhD) in a commercial, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. THIS ROLE In this role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team. You'll build the foundations for successful, impactful solutions by: * Leading pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team. * Architecting and developing innovative deep learning models in combination with state-of-the-art optimisation methods to predict and control the behaviour of physical systems. * Taking full responsibility for the quality, accuracy and impact of your work and the work of your team. * Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments. * Leading cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations. * Driving internal R&D and product development, helping to refine models and identify new areas of application. * Mentoring junior team members and providing technical guidance to help them grow. * Leading open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers. * Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. 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! 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.
Here at The Exploration Company, we are developing, producing, and operating Nyx, a modular and reusable space orbital vehicle that can eventually be refuelled in orbit and that can carry cargo - and potentially humans in the longer run. As a talented Propulsion CFD Engineer, you will be responsible for the computational fluid dynamics analysis of propulsion system components and thruster plumes, providing the flow physics insight that underpins component design, thruster performance, and vehicle-level integration decisions. ROLE OVERVIEW CFD Analysis & Component Simulation * Perform CFD simulations of propulsion components — valves, regulators, orifices, injectors, feed lines — to characterize internal flow, pressure drop, and flow-induced loads. * Support design trade studies by predicting component-level performance across the operating envelope, in both steady-state and transient conditions. * Identify and help resolve flow anomalies such as cavitation, choking, or flow separation that affect component performance. Plume Characterization & Thruster Performance * Model thruster plume characterization, from near-field continuum expansion through far-field rarefied flow, including relevant gas dynamics effects. * Assess plume-induced thermal, contamination, and force/torque effects on adjacent subsystems and vehicle surfaces. * Support thruster and nozzle design by predicting performance parameters such as thrust coefficient and specific impulse from CFD. Cross-Functional Design Collaboration * Work closely with propulsion design engineers and structural and thermal analysts to translate CFD results into actionable design inputs and margins. * Communicate CFD findings and their implications clearly to multidisciplinary teams and program stakeholders. * Support system-level trades on component sizing, thruster placement, and plume shielding for vehicle interfaces. Model Validation, Tools & Documentation * Validate and correlate CFD models against test data — cold-flow testing, hot-fire testing, plume diagnostics — to build and maintain model confidence. * Maintain and improve CFD simulation workflows, meshing practices, and tools to improve turnaround time and consistency across the design office. * Produce clear technical reports and analysis documentation supporting design reviews and certification. KEY RESPONSIBILITIES LOCATION You will perform your duties principally at the Company's premises in Bordeaux and may be required to travel from time to time to our company’s premises in Munich in the course of your duties. WHAT WE WOULD LOVE TO SEE FROM YOU * M.S. or Ph.D. in aerospace or a related field, with 3+ years of hands-on CFD experience relevant to propulsion or fluid dynamics. * Proficiency with CFD software such as ANSYS Fluent, STAR-CCM+, OpenFOAM, or equivalent. * Experience modeling compressible, multiphase, and/or rarefied gas flows relevant to propulsion valves and thruster plumes. * Familiarity with plume characterization methods such as DSMC or continuum-rarefied coupling is a strong plus. * Strong grounding in fluid mechanics, thermodynamics, and gas dynamics fundamentals. * Experience correlating CFD predictions against test data. * Familiarity with scripting or automation (Python, MATLAB) for meshing, post-processing, or workflow automation. * Fluent in English. German and French are an asset Skills and Behaviors: * A hands-on approach to problem-solving, combined with a collaborative mindset to work across multidisciplinary teams * Excellent organizational skills and ability to multitask * Capability of working autonomously whilst collaborating productively with remote teams * Positive and flexible attitude in a constantly evolving environment * Grit to get the job done * Ability to communicate effectively with a wide variety of audiences * Behaviors consistent with The Exploration Company’s core values of Commitment, Innovation, Trust, Quality, and Teamwork Why you should join us! What makes us special here at The Exploration Company and why we think you will enjoy working here is: * We’re Agile - we make decisions fast whilst keeping our goals and systems in mind * We’re Open and Collaborative - we are transparent about risks and obstacles, so that we can cooperate to overcome them * We have a lot of Fun - we refuel our energy knowing we are democratising space. It’s a wonderful and rare opportunity, are YOU up for the challenge? We'd love to hear from you if you wish to be a part of our journey. Please submit your CV now for immediate consideration and we will be in touch shortly. The Exploration Company is an equal opportunity employer and values diversity. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Relocation assistance is provided for those willing to relocate including visa sponsorship where applicable. All offers are contingent upon the successful completion of a background check, which will be subject to the country, role, and project you applied for. By submitting your application, you acknowledge and agree that any offer of employment may be conditional upon successful condition of this check. The Exploration Company partners with Zinc Work Limited located in the UK (Zinc), a third-party provider, to ensure this process as efficient and transparent as possible. If applicable, you will receive an email from Zinc upon acceptance of your offer with a link to a secure portal where you can provide the required information to Zinc.