Solutions Engineering

About Neural Concept Engineering is at an inflection point. The teams defining the next generation of aircraft, electric vehicles, and consumer products are not just designing faster. They are designing fundamentally differently, with AI embedded at the core of their workflows.

Neural Concept builds the Engineering AI platform that makes this possible. We help the world's leading engineering teams accelerate development, improve product outcomes, and scale engineering capacity, turning months of simulation into days and engineering intuition into data-driven insight.

We work with elite engineering teams in Automotive, Aerospace, High-Tech and Electronics, and advanced manufacturing, where the stakes are high, the complexity is rising, and the pressure to innovate has never been greater. As a Solution Engineer, you sit at the intersection of engineering credibility and strategic influence. You are the person in the room who can connect a VP's business challenge to a concrete, well-scoped AI solution, and who knows Neural Concept's platform and roadmap well enough to make that connection land with confidence.

You are a trusted advisor: someone who earns credibility through engineering background and product depth, and who builds long-term account relationships by consistently framing the right problems and the right solutions at the right moment. You drive the full pre-sales motion, from discovery to demo to signed Statement of Work, and you remain the account's technical compass through the client lifecycle, identifying and shaping expansion opportunities.

Lead structured discovery sessions to identify where NC creates the most impact, framing use cases that are technically feasible and commercially grounded

Define the AI strategy and technical roadmap for each account, translating NC's capabilities and product direction into a multi-horizon vision

Create and co-own the Statement of Work, with deep understanding of the technical building blocks and how these transform the client's existing workflows

Identify upsell and expansion opportunities from account knowledge and commercial signals, and shape them into well-scoped proposals

Professional fluency in Korean and English.

You hold an engineering degree (mechanical, aerospace, automotive, industrial, or similar) and have a solid understanding of CAD and CAE workflows, including where bottlenecks lie and what it takes to transform those workflows with AI

You move accounts forward without being asked, spot opportunities early, and bring structure to ambiguous situations

You understand AI and machine learning applied to engineering at a conceptual level, and are comfortable creating demos and prototypes using AI -assisted tools with working knowledge of Python and modern development practices

You have experience in a client-facing role: pre-sales, solutions consulting, technical account management, or engineering consulting

Professional fluency in Korean

Candidates who bring the following will be able to take on a wider scope and go deeper with the most technically complex accounts:

You have deep, hands-on simulation experience: full pipelines from CAD to post-processing, solver experience, and workflow automation

You are a strong programmer: you write clean Python , build data pipelines, and are comfortable in ML/DL frameworks including model training, evaluation, and deployment

You can go deep in technical discovery: dive into customer toolchains, data environments, and simulation setups to assess feasibility at the level a simulation engineer would respect

You can build end-to-end engineering workflow demos from scratch, rapidly prototyping the full arc from design generation and simulation to data pipelines, model training, and application deployment using agentic development tools

Strategic or technical consulting background, executing digital transformations

Previous experience working in engineering software companies or using engineering software tools (e.g., Ansys, Altair, Siemens, Dassault Systèmes, or Autodesk)

Background in ML/DL research or development in an engineering context

Experience automating CAE workflows (scripting, batch processing, surrogate model pipelines)

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.

Some travel will be required

We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.