Neuralconcept

Solutions Engineer (German-speaking)

4mo ago
EuropeMiddleRemote
Neuralconcept

Solutions Engineer (German-speaking)

4mo ago
EuropeMiddleRemoteaisolution designcustomer engagement

Bridge AI technology with engineering challenges, translating customer needs into AI-powered solutions and driving adoption in industry sectors like automotive and aerospace.

Responsibilities

  • The mission of Neural Concept's Application Engineering team is to help industry leaders redefine how they design products — by bridging cutting-edge AI technology with real-world engineering challenges. We work hand-in-hand with engineering, design, and executive teams across automotive, aerospace, and energy to understand their strategic needs and deliver solutions that create measurable impact.
  • As part of this team, you will sit at the intersection of business and technology — translating complex customer challenges into high-value AI-powered solutions, and ensuring those solutions actually land and stick within our customers' organizations. This is a role for someone who thrives equally in a boardroom conversation with a VP and in a deep-dive technical session with engineers.
  • If you're excited about shaping how industry leaders adopt AI and about being a trusted advisor to some of the world's most sophisticated engineering teams, this is the role for you.
  • Understand and shape customer strategy: Engage with senior stakeholders (VP, C-level) to understand their business challenges, articulate the value of AI-assisted design, and co-design high-level solution roadmaps.
  • Design and deliver solutions: Translate business requirements into concrete technical approaches using NC's platform, working closely with customer engineering teams and internal developers.
  • Drive adoption: Guide customers through AI adoption — from proof-of-concept to full integration — ensuring teams are equipped and confident to use new workflows.
  • Be the bridge: Act as the link between customer needs and NC's product evolution, feeding insights back to our development team to continuously improve the platform.

Requirements

  • You are a strong communicator and trusted advisor — you can engage confidently with senior stakeholders (VP, C-level), build relationships quickly, and drive alignment around complex, ambiguous problems
  • You have experience designing solutions end-to-end: from understanding a business need to translating it into a concrete technical approach
  • You are comfortable working in a customer-facing environment, navigating both executive conversations and deep technical sessions with engineering teams
  • You hold a Master's or PhD degree in Engineering, Applied Mathematics, Physics, or a related field — or have equivalent experience in an industrial or consultancy setting
  • You have a solid understanding of engineering simulation concepts (CAD/CAE, CFD, FEM, or similar) — whether from an academic or industry background
  • You have working knowledge of machine learning and how it applies to engineering problems; hands-on experience with Python and ML/deep learning frameworks is a strong plus
  • You are intellectually curious and eager to tackle real-world engineering challenges through AI and automation
  • You are fluent in English and German (preferably native)
  • We value different balances of business and technical skills. Whether your strength is in solution design and stakeholder management, or in hands-on implementation, we want to hear from you.

Conditions

  • Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence.
  • Benefit from a competitive salary and rewarding opportunities as we continue to scale.
  • Thrive in a collaborative, multicultural environment where your work is visible and recognized.
  • Develop professionally alongside talented colleagues who share knowledge freely and support one another.
  • Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.
  • Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.