Physics Simulation Engineer
Flexcompute
Physics Simulation Engineer
Flexcompute
Cloud CAE for fluid, thermal, EM
Flexcompute Inc. · Katowice, Poland (Hybrid) · Full-time · Posted 2026-08-31
Workplace: hybrid
Department: Development
We are looking for exceptional physicists and engineers who want to turn first-principles thinking into technology used to design the next generation of aircraft, vehicles, chips, and photonic systems.
We welcome outstanding people at different career stages, from exceptional graduates to experienced researchers and engineers. If you want to learn fast, work with unusually strong scientists and engineers, tackle problems at the frontier of computation, and see your work matter in industry, Flexcompute offers a rare environment in which to grow and do your best work.
About Flexcompute
Flexcompute is the physics company. We exist to make the real world computable. Created by engineers from MIT and Stanford, we build trusted, GPU-native physics simulation and AI-powered engineering technology for teams designing aircraft, vehicles, chips, and photonic systems. Our technology is trusted by more than 250 companies and academic institutions, including innovators such as Anduril, BETA Technologies, Coherent, Hermeus, Joby Aviation, Northrop Grumman, Samsung, and Xanadu.
Our products span fluid dynamics, electromagnetics, photonics, geometry, and multiphysics workflows. We work at the frontier of physical modelling, numerical algorithms, GPU computing, high-performance computing, AI, and engineering automation. The goal is not speed at the expense of physics. It is to make previously impractical, high-fidelity engineering work fast enough to shape real design decisions.
About the role
You will join the Flexcompute team in Poland and work at the intersection of physics, engineering, simulation, and technology. The centre of gravity is not writing software for its own sake. It is understanding physical systems and helping turn that understanding into reliable engineering results and better simulation products.
This is not a narrowly defined solver-developer position. Depending on your strengths, you may work closer to customers and applications, simulation validation, product workflows, scientific computing, or a combination of these. Contributions to numerical algorithms or solver development are welcome, but they are not required.
What you will do
• Understand challenging industrial and research problems, identify the relevant physics, and formulate an appropriate simulation strategy.
• Build, run, validate, and interpret simulations in one or more physical domains.
• Investigate unexpected results, convergence behaviour, modelling assumptions, boundary conditions, mesh sensitivity, and discrepancies with experiments or reference data.
• Create clear and reusable Python workflows, examples, benchmarks, and technical demonstrations.
• Collaborate with customers, application engineers, product teams, and solver developers. Translate user needs and physical insight into actionable product feedback.
• Communicate complex engineering ideas clearly through discussions, written explanations, presentations, and technical content.
• Take ownership of difficult, ambiguous problems and drive them toward a trustworthy result.
Two profiles can be equally successful
Application-oriented profile. You have deep physical or engineering understanding, practical simulation experience, strong communication skills, and enough programming ability to automate workflows and investigate problems rigorously.
Scientific-computing profile. You are stronger in numerical methods and technical computing and may contribute more deeply to algorithms, performance, geometry, optimization, or simulation infrastructure.
We do not expect one person to cover both profiles equally. Exceptional strength in physics and applications can compensate for less advanced computing experience.
Working with the Poland team
This role is attached to Flexcompute's Poland office in Katowice. We value regular in-person collaboration, but permanent daily office presence is not required. The working cadence can be agreed based on the role and location. Candidates should be able to spend meaningful time with the Poland team when needed.
Who you are
• You have completed, or are close to completing, an MSc or PhD in physics, aerospace engineering, mechanical engineering, computational science, applied mathematics, computer science, or a related technical field.
• You have strong foundations in physics, mathematics, or engineering, can reason from first principles, and have hands-on experience with numerical simulation or quantitative modelling.
• You can write practical scripts, preferably in Python, to automate work, analyse data, and test ideas.
• You are motivated by real engineering problems, product impact, and industrial applications.
• You communicate clearly, learn quickly, and demonstrate unusual ownership, persistence, and intellectual curiosity.
What can demonstrate exceptional ability
We care about evidence of ability and genuine technical interest, not one prescribed career path. Strong signals may include:
• Student engineering teams and competitions: active participation in teams such as SAE Aero Design, Formula Student, rocketry, UAV, robotics, satellite, or other engineering projects.
• Olympiads and technical competitions: national or international physics, mathematics, informatics, astronomy, or engineering competitions.
• Relevant internships or industry experience: placements in aerospace, automotive, energy, advanced manufacturing, research institutes, or industrial R&D.
• Applied research: work that connects modelling with experiments, measurements, design decisions, or a real physical system.
• Personal or open technical work: open-source contributions, simulation tools, automation, technical software, or a demanding project built independently.
Participation alone is not the goal. We are most interested in what you personally designed, simulated, built, tested, debugged, or improved.
Experience that would be useful
Any of the following would be valuable, but none is required across the board:
• CFD, fluid mechanics, aerodynamics, aeroacoustics, heat transfer, structural mechanics, electromagnetics, photonics, quantum physics, or adjacent fields.
• Application engineering, technical consulting, customer collaboration, commercial simulation software, or ownership of simulation-driven engineering decisions.
• Numerical methods for PDEs, linear algebra, optimization, inverse design, computational geometry, or uncertainty analysis.
• C++, Rust, GPU computing, CUDA, MPI, OpenMP, distributed computing, or performance optimization.
• AI or machine learning applied to engineering, simulation, scientific workflows, or technical data.
How you will be successful
• Your simulation work is physically sound, reproducible, and useful for an engineering decision.
• You can distinguish a modelling issue, a numerical issue, a workflow issue, and a product issue, and involve the right people.
• You make difficult technical topics clearer for customers and colleagues and improve the workflow around each case.
• You develop deeper expertise while remaining curious across disciplines.
How to apply
Please send us your CV and a short note describing one difficult technical problem or engineering project you worked on. Tell us what you personally contributed, what made it difficult, and how you knew your result was correct or useful.
We welcome applications from people who do not match every item above. If you have exceptional evidence of technical ability and a strong interest in physics simulation, we would like to hear from you.
Why Flexcompute is an exceptional place to build your career
• Learn from an unusually strong technical team. Flexcompute brings together distinguished technologists, experienced industry practitioners, and computational scientists trained at leading institutions around the world. The team includes pioneers and internationally recognized experts in turbulence modelling, computational mathematics, electromagnetics, photonics, aerospace, and scientific computing.
• Work on problems at the edge of what is computationally practical. We tackle simulations that stretch conventional approaches in scale, fidelity, speed, and automation, then turn research-level ideas into reliable products.
• See physics create real industrial impact. Your work can influence how leading aerospace, automotive, semiconductor, photonics, energy, and advanced-technology companies design and validate new hardware.
• Combine scientific depth with the pace of a technology company. You do not have to choose between rigorous physics and practical relevance. You can investigate difficult questions, build tools, work with users, and see the result deployed.
• Take meaningful ownership from the beginning. Strong ideas and sound technical judgement matter more than seniority. You will be expected to learn quickly, contribute directly, and grow toward the part of physics, applications, or scientific computing where you can become exceptional.
• Share in the company you help build. We offer competitive compensation and meaningful equity, subject to local employment terms.
Flexcompute is an equal opportunity employer. We value different backgrounds, experiences, and perspectives, and we encourage qualified candidates from all backgrounds to apply.
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Cloud CAE for fluid, thermal, EM
Flexcompute offers cloud-based CAE (computer-aided engineering) software that provides proprietary tools for simulating fluid dynamics, thermal analysis, and electromagnetic physics. The platform is delivered as a service, letting engineers run complex simulations in the cloud without needing powerful local hardware, thereby speeding up product design and reducing development costs and risks. Its software-hardware co-design approach enhances the speed and accuracy of simulations, helping manufacturers, semiconductors, and other industries optimize designs efficiently. The company differentiates itself by combining multi-physics simulation capabilities with scalable cloud resources and a focus on making advanced computational analysis accessible to engineers and designers. The goal is to accelerate R&D cycles and enable more reliable, cost-effective hardware development.
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