AI Simulation Engineer

In this role, you will lead and deliver high-impact AI projects in collaboration with leading clients across different industries, and contribute to the development of our internal AI and data product portfolio. You will work hands-on with real-world multi-modal datasets, build predictive models, and develop AI-driven simulation technologies to accelerate product development.

Your role will combine technical and hands-on expertise with scientific curiosity: from extracting insights and building robust AI models to shaping client solutions and guiding the evolution of our technology offerings.

This is more than a job - it is an opportunity to help shape the future of our company and drive technology innovation in one of the most critical industries of our time., Internal Product Development

• Research innovative ways of solving identified market challenges by applying data-driven and physics-informed AI technologies
• Own development streams towards the productionalization of new simulation products/offerings
• Work closely with stakeholders to gather requirements and define feature priorities

Hands-on Project Involvement

• Participate in the delivery of client projects by developing new features and act as a key sparring partner for project managers and relevant client stakeholders
• Oversee the processes and structures to keep internal timeline targets

Technology Scouting

• Support the constant development of our service portfolio by identifying new technological opportunities

• Master's degree in Data/Computer Science, Applied Mathematics, Engineering, or a related field
• Relevant practical experience in machine learning applied to at least two different AI domains - such as large language models, computer vision, time-series modeling, etc.
• Strong skills in Python, and common libraries such as Pandas, Scikit-learn, or PyTorch
• Experience in MLOps, including model deployment, monitoring, CI/CD pipelines, experiment tracking (e.g., MLflow), as well as cloud platforms (AWS, GCP, Azure)
• Track record of rapid prototyping, POCs, and iterative model improvement, ideally in a client-facing environment
• Ability to translate ambiguous engineering problems into AI-driven solutions and evaluate the model performance, deployment complexity, latency, and cost tradeoff
• Collaborative mindset paired with a high sense of end-to-end ownership and initiative
• Curiosity to explore emerging AI technologies, architectures, and tools

"NICE TO HAVE"

• Experience with system simulations (CFD, FEA, Thermal/Fluid dynamics, etc.) and integrating AI models into real-world engineering systems
• Expertise in multi-modal AI work and various architectures (e.g. transformers, multi modal encoders) or novel modalities (multi-sensor fusion, LAMs, generative design)

• Exposure to innovative technologies in real-world applications across different industries
• A dynamic, young and collaborative work environment that fosters innovation
• Opportunity to influence strategy and product roadmap of the company
• Hybrid working mode and flexible working hours
• Fair market salary + variable compensation

We are a young, dynamic and technology-driven company, committed to developing targeted AI-driven solutions that revolutionize the development of products in the broad field of engineering.