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Neural Concept

3D deep-learning CAD-CAE design optimization

Solutions Engineer

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listed

About the Job

Requirements

  • Hold an engineering degree in mechanical, aerospace, automotive, industrial, or a similar field.
  • Have a solid understanding of computer-aided design (CAD) and computer-aided engineering (CAE) workflows, including bottlenecks and how AI can transform those workflows.
  • Understand AI and machine learning applied to engineering at a conceptual level, and be comfortable creating demos and prototypes using AI-assisted tools, with working knowledge of Python and modern development practices.
  • Have experience in a client-facing role such as pre-sales, solutions consulting, technical account management, or engineering consulting.
  • Be professionally fluent in Korean and English.

Responsibilities

  • Position Neural Concept as a long-term strategic partner and trusted engineering advisor across engineering teams, managers, and vice presidents.
  • Lead structured discovery sessions to identify where Neural Concept creates the most impact and frame technically feasible, commercially grounded use cases.
  • Define the AI strategy and technical roadmap for each account, translating Neural Concept's capabilities and product direction into a multi-horizon vision.
  • Create and deliver compelling, client-tailored demos and presentations grounded in client engineering workflows and aligned with the vision.
  • Create and co-own Statements of Work, understanding the technical building blocks and how they transform clients' existing workflows.
  • Prepare and run Steering Committees, connecting engineering challenges to strategic outcomes.
  • Drive user adoption and engagement across technical users, managers, and designers, ensuring Neural Concept is embedded in daily workflows and engineering champions emerge.
  • Identify upsell and expansion opportunities based on account knowledge and commercial signals, and shape them into well-scoped proposals.
  • Collaborate with Sales to advance and close deals, with Forward Deployed Engineering to ensure smooth pre-sales-to-delivery transitions, and surface client insights to Product and R&D to inform roadmap priorities.

Desired Qualifications

  • Bring deep, hands-on simulation experience, including full pipelines from CAD to post-processing, solver experience, and workflow automation.
  • Be a strong programmer who writes clean Python, builds data pipelines, and is comfortable with machine-learning and deep-learning frameworks, including model training, evaluation, and deployment.
  • Be able to conduct in-depth technical discovery across customer toolchains, data environments, and simulation setups, assessing feasibility at a level a simulation engineer would respect.
  • Be able to build end-to-end engineering workflow demos from scratch, rapidly prototyping the arc from design generation and simulation to data pipelines, model training, and application deployment using agentic development tools.
  • Have a strategic or technical consulting background executing digital transformations.
  • Have prior experience working at engineering software companies or using engineering software tools such as Ansys, Altair, Siemens, Dassault Systèmes, or Autodesk.
  • Have a background in machine-learning or deep-learning research or development in an engineering context.
  • Have experience automating CAE workflows, including scripting, batch processing, or surrogate model pipelines.

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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