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Neural Concept

3D deep-learning CAD-CAE design optimization

Technical Marketing Engineer

Product MarketingConfirmed live in the last 24 hours
Full-timeLausanne, SwitzerlandNo salary listedHybrid

About the Job

Requirements

  • A strong engineering background.
  • The ability to build technical prototypes independently; experience with Python and AI or engineering software is strongly preferred.
  • Knowledge of one or more relevant areas: machine learning, physics AI, simulation, CAD/CAE, geometry processing, engineering software, or agentic systems.
  • Evidence of explaining technical subjects through writing, demonstrations, or video.
  • A marketing-first mindset, considering the audience and intended reaction as well as technical implementation.
  • Strong visual and product judgment, including attention to how a demonstration looks and how clearly it communicates value.
  • Comfort working with external technology partners and coordinating across technical and marketing teams.
  • The ability to move quickly through ambiguity and build enough to prove a concept.
  • Excellent written and spoken English.

Responsibilities

  • Explore partner technologies and identify where they can create new engineering workflows with Neural Concept.
  • Lead technical co-build initiatives, initially focused on the NVIDIA ecosystem, including technologies such as PhysicsNeMo, Warp, Omniverse, and agentic frameworks.
  • Build prototypes combining Neural Concept capabilities with partner products and infrastructure.
  • Work directly with partner technical and marketing teams to shape joint stories.
  • Turn technical exploration into demonstrations, videos, event content, and other co-marketing assets.
  • Identify opportunities for joint content, launches, and market visibility.
  • Write technically grounded articles, explainers, and demonstration narratives.
  • Create and present demonstrations for partners, events, campaigns, and executive conversations.
  • Develop demonstration scripts and work with design or video specialists to produce polished assets.
  • Repackage internal prototypes and engineering work into content external audiences can understand and remember.
  • Help Product and Partner Marketing communicate technical mechanisms precisely, without unnecessary complexity.
  • Define the audience, message, and desired outcome before starting technical work.
  • Decide deliberately what needs to work end to end and what can remain a prototype.
  • Prioritize a clear story, strong visual execution, and market relevance.
  • Simplify the experience without oversimplifying the technology.
  • Validate technical claims with relevant internal experts before publication.

Desired Qualifications

  • Experience with Python and AI or engineering software is strongly preferred.

About the Company

Neural Concept

3D deep-learning CAD-CAE design optimization

Neural Concept uses 3D deep-learning to improve product design in automotive and aerospace. Its product, Neural Concept Shape (NCS), analyzes designs directly within CAD to provide physics-based insights, guiding designers without the need for meshing and lengthy simulations. This speeds up the design workflow by bridging CAD and CAE teams, reducing iteration time and late-stage failures. The company licenses its technology to clients, integrating into existing design processes, and has partnered with OEMs and Tier 1 suppliers such as Danfoss and Mitsubishi Chemical Group to boost performance and efficiency. Its goal is to help customers cut design lead times by substantial margins (claimed over 90%) and deliver better-performing products faster.

Company size
51-200
Company stage
Series C
Total funding
$137.8M
Headquarters
Lausanne, Switzerland
Founded
2018

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