Forward Deployed Engineer

Strativ Group; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Strativ Group is hiring a Forward Deployed Engineer to work directly with automotive, aerospace and energy organisations, bringing AI into real-world engineering environments. This role sits at the intersection of engineering and AI, turning complex simulation data into AI solutions, and building Python-based workflows and proofs-of-concept.

The ideal candidate will have a MSc/PhD in Engineering or related field, strong Python skills (PyTorch/TensorFlow) and experience with CFD/FEM/CAE, fluent

Qualifikationen

• MSc or PhD in Engineering, Applied Maths or Physics.
• Strong Python skills, ideally PyTorch or TensorFlow.
• Experience with CFD, FEM, CAE or engineering simulation.
• Fluent German and English.

Aufgaben

• Work directly with engineering teams at major industrial clients.
• Turn complex engineering and simulation data into AI solutions.
• Build AI/ML workflows and proof-of-concepts using Python.
• Apply deep learning to CFD, FEM and CAE challenges.
• Demonstrate measurable improvements in speed, cost and performance.
• Train engineers to use the technology themselves.
• Bring customer insight back to the technical and product teams.

Kenntnisse

Python

PyTorch

TensorFlow

Ausbildung

MSc/PhD in Engineering

Jobbeschreibung

What happens when you combine deep engineering expertise with cutting-edge AI?

You help some of the world’s biggest industrial companies design better products, faster.

We’re hiring a Forward Deployed Engineer to work directly with major automotive, aerospace and energy organisations, bringing AI into real-world engineering environments.

This isn’t a pure ML role.

It isn’t traditional engineering either.

You’ll sit at the intersection of both.

Key Responsibilities

• Work directly with engineering teams at major industrial clients
• Turn complex engineering and simulation data into AI solutions
• Build AI/ML workflows and proof-of-concepts using Python
• Apply deep learning to CFD, FEM and CAE challenges
• Demonstrate measurable improvements in speed, cost and performance
• Train engineers to use the technology themselves
• Bring customer insight back to the technical and product teams

What we’re looking for

• MSc or PhD in Engineering, Applied Maths or Physics
• Strong Python skills, ideally PyTorch or TensorFlow
• Experience with CFD, FEM, CAE or engineering simulation
• Comfortable working directly with clients and presenting technical concepts
• Fluent German and English

The ideal background could be

• An engineer who moved into AI.
• A CFD/FEM specialist applying ML to simulation.
• An engineering researcher working with deep learning or surrogate modelling.

Ultimately, someone who can take a complex engineering problem and turn it into a practical AI solution.