Solutions Engineer

About the Role

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.

• 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;
  French is a plus.

• 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.