Engineering Manager, Modeling & Rendering

nTop builds parametric design software for the hardest geometry problems in aerospace, defense, propulsion, and industrial energy. Our platform lets engineers define a design as a parametric program - not one aircraft or turbine, but every variant a program might need - and explore design spaces that were previously too large to search. The next step is generative: describe the part you need, and let AI produce a sophisticated, engineering-grade nTop model in minutes.

We're building the product that makes that possible.

We're looking for an Engineering Manager to lead the team that sits at the beginning of everything nTop does:
Modeling & Rendering
. This team owns our core implicit modeling technology and the tools an engineer uses to create, modify, and visualize a model - whether they build it by hand in the application or generate it with an AI tool such as Astra or Fable. It also owns how those models flow into the broader ecosystem of CAD and PLM tools our customers already rely on.

If the rest of nTop is a chain, this team is the first link, and the beating heart of what we've built and what we're building next.

The team is small, senior, and deep. Its engineers are industry experts in implicit geometry, GPU acceleration, and rendering, and they are the people who made it possible for an AI to skip manual modeling and go straight to a generative result - including refining what a good model looks like so the AI produces one. The team is distributed across Europe and the US, and you will be managing across time zones from day one.

You will be managing across time zones from day one.

The team's charter is evolving. Today it owns the modeling and rendering core of a mature, high-performance desktop application. Over the coming year it will increasingly build for a new generation of nTop - AI-assisted, and designed to reach engineers on more surfaces than the desktop - while modernizing the rendering pipeline underneath both. You'll lead the team through that shift.

You'll partner with a dedicated Product Manager who owns strategy and roadmap for this area. Your job is execution: how the team operates, how decisions get made, and how a high variety of unrelated technical topics stays visible, prioritized, and moving.

Coach a team of experts. Senior engineers with deep specialties don't all need the same thing from a manager. You will get to know each person's strengths and goals, tailor how you support them, set clear expectations, and give direct feedback that helps every engineer on the team do the best work of their career.

Bring structure to a wide topic mix. The team carries many work streams at once - implicit modeling, rendering, UI, the execution kernel, AI integration. Keeping all of it visible, prioritized, and moving is the core of the job. You will give each project a clear scope, a clear next step, and a clear definition of done, and keep multi-month efforts on course by spotting drift early and making the call.

Set the operating tempo. nTop's R&D mandate for 2027 is to move an order of magnitude faster between identifying a market need and resolving it. You will eliminate micro-delays and toil, automate what can be automated, bring decision frameworks to technical debates so they end in a decision, and lead the team's adoption of AI-assisted development as a normal part of how work gets done.

Hold your own technically. You do not need to be the best geometer in the room, but you do need to follow an argument about implicit math, GPU rendering, or kernel architecture, ask the question that exposes the weak spot, and say no with a good reason. The team's engineers are experts, and they will value a manager who engages with the substance.

Be the…