🌐 Industrial Simulation Engineer (Python/C++ for Industrial AI)

🌐 Industrial Simulation Engineer (Python/C++ for Industrial AI)

Verticals: Automotive / Construction / Railway / Naval / Aviation / Aerospace

📍 Remote | Minimum of 2 years experience | Full-Time

📅 Applications close: August 30, 2025

About the Role

Simulation Engineers

hands-on coding role for builders.

Vertical Cell

What You’ll Do (Responsibilities)

• Develop & Implement Simulations:

  Write clean, high-performance Python and/or C++ code to create physics-based (FEA, CFD, Thermodynamics) and data-driven (ML/DL/RL) simulation models.

• Integrate Solvers:

  Automate and integrate open-source solvers (e.g.,

  OpenFOAM, Code_Aster, EnergyPlus

  ) into our cloud platform using APIs and scripting.

• Build ML Models:

  Design, train, and deploy machine learning models (e.g., Graph Neural Networks, Transformers, surrogate models) to predict engineering outcomes, replacing or augmenting traditional solvers.

• Translate Theory to Code:

  Convert engineering standards (ISO, Eurocodes, etc.) and first-principle physics into validated computational models.

• Own Simulation Scenarios:

  Take full ownership of implementing and validating simulation scenarios, like the ones detailed in our project files, from initial concept to production deployment.

• Collaborate on Data Pipelines:

  Work with the AI Cell to structure and process simulation data (inputs, outputs, mesh data) for training next-generation AI models.

Core Qualifications (Must-Haves)

• ✅ 2+ years of professional experience with a strong focus on

  Python

  or

  C++

  for scientific or engineering applications.
• ✅ A strong portfolio or track record of building simulation tools, custom solvers, or complex ML models from scratch.
• ✅ Solid foundation in numerical methods, linear algebra, and data structures.
• ✅ Proven experience in

  at least one

  of the following domains:

• Physics-Based Simulation:

  Programmatic experience with FEA, CFD, or thermodynamics (e.g., building pre/post-processors, scripting solvers, developing custom physics modules).

• Machine Learning:

  Experience applying ML to scientific/engineering problems (e.g., surrogate modeling, physics-informed neural networks, reinforcement learning for design optimization).

Preferred Qualifications (Nice-to-Haves)

• 👍 Experience scripting or contributing to open-source solvers like

  OpenFOAM, Code_Aster, CalculiX, EnergyPlus, OpenSeesPy,

  or

  Project Chrono

  .
• 👍 Proficiency with scientific computing libraries (

  NumPy, SciPy, Pandas

  ) and ML frameworks (

  PyTorch, TensorFlow, JAX, Scikit-learn

  ).
• 👍 Experience with programmatic manipulation of 3D geometry (e.g., using

  Trimesh, IfcOpenShell, OpenCASCADE, PyVista

  ).
• 👍 Familiarity with MLOps, containerization (Docker), and running high-performance computing (HPC) workloads in the cloud.
• 👍 Deep domain knowledge in

  Automotive, Construction, Railway, Naval, Aviation,

  or

  Aerospace

  .

Our Tech Stack & Tools

• Core Languages:

  Python, C++

• Libraries & Frameworks:

  NumPy, SciPy, Pandas, PyTorch, JAX, FastAPI

• Solvers & Simulators:

  OpenFOAM, Code_Aster, EnergyPlus, and custom-built models

• 3D Data:

  STEP, IFC, STL, glTF

• Collaboration:

  Linear, Gemini, Google Workspace, Github

What You’ll Influence

• Shape the core simulation roadmap for your entire industry at Neodustria.
• Define how our AI models understand, process, and simulate real-world physics.
• Contribute to the go-to-market strategy by building features that deliver unique value.
• Be the core "neuron" of your industry in a pioneering neural company.

Compensation & Benefits

• 💰 Experience-based salary
• 🎯 Performance-based bonus
• 🌍 Work remotely in a fully international, AI-first company
• 🚀 Join a pioneering neural organization model with real strategic ownership
• 📚 Access to training and conferences in your industry or tech sector
• 🧠 Long-term career growth in a company at the frontier of industry and AI