Applied AI Engineer – Industrial Automation
Location: Munich, Germany
Company: Series A Deep Tech Startup
Revolutionary industrial engineering through AI that transforms centuries-old computational methods into lightning-fast neural networks. With €15M in Series A funding, we’re solving fundamental bottlenecks in engineering simulation where traditional computational fluid dynamics creates massive delays—reducing 80+ hour simulations to mere minutes through advanced physics-informed neural networks. Our breakthrough technology serves aerospace, automotive, and renewable energy sectors, helping companies streamline design processes and accelerate innovation. As manufacturing undergoes digital transformation and sustainability becomes critical, we’re pioneering AI solutions that make advanced engineering faster, more efficient, and environmentally sustainable while working with leading European industrial partners.
What You’ll Do:
- Develop physics-informed neural networks for computational fluid dynamics applications
- Build AI models that replace traditional finite element analysis with neural solutions
- Create real-time simulation engines for industrial design and optimization
- Integrate AI systems with existing CAD/CAE workflows and industrial software
- Research novel approaches for multi-physics modeling and uncertainty quantification
Requirements:
- MSc/PhD in Engineering, Physics, Applied Mathematics, or Computer Science
- 3+ years experience with scientific computing and numerical methods
- Strong background in computational fluid dynamics, FEM, or related simulation techniques
- Expertise in physics-informed neural networks (PINNs) or neural operators
- Proficiency in Python, C++, and GPU programming (CUDA)
What We Offer:
- €70k-€110k + equity in a pioneering deep tech company
- Work on breakthrough technology with immediate industrial applications
- Collaborate with leading research institutions and industry partners
- Opportunity to publish research and present at top scientific conferences
