Note: The job is a remote job and is open to candidates in USA. nTop builds parametric design software for complex geometry problems in aerospace, defense, propulsion, and industrial energy. The Engineering Manager will lead the Modeling & Rendering team, coach senior engineers, structure and prioritize concurrent technical workstreams, and guide the modernization of the rendering pipeline and transition toward AI-assisted, multi-surface products.
Responsibilities
- 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 workstreams 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 PM's partner and proxy. "Work closely with Product Management to turn roadmap into engineering plans. Bring pre-structured decisions — options, trade-offs, and what needs deciding — and own day-to-day technical calls so the team keeps moving between checkpoints
- Deliver the transition. Lead the team through the rendering pipeline modernization, the launch of generative model creation through our notebook API, and the shift of engineering effort from the legacy desktop UI toward the new product, without dropping the quality of what customers depend on today
Skills
- 3+ years managing software engineers, with a track record of coaching senior individuals to higher performance, setting clear expectations, and having the direct conversations that come with the job
- A background in graphics, geometry, or a closely adjacent computational field
- A PhD is not required, but you must play well with a team that lives deep in implicit geometry, GPU rendering, and computational math
- Fluency in C++, with the ability to read, reason about, and review code in a large, mature codebase
- A track record of structured project management across many concurrent topics: keeping work visible, prioritized, and finishing on the timelines you commit to
- Demonstrated adoption of AI-assisted development in a team you led, and a point of view on how it changes an engineering organization's tempo
- Experience managing a distributed team across US and European time zones
- Rust experience is a strong plus
- Hands-on experience with GPU shader languages (GLSL, HLSL, or similar) or modern graphics APIs, and with modernizing a rendering pipeline
- Experience carrying a desktop-native product to new surfaces such as the web browser or mobile
- Familiarity with CAD, CAE, or other engineering software and the workflows around it
- Experience integrating generative AI into a product — not building models, but giving an AI something to grab onto and refining its output against expert judgment
Benefits
- Remote • Hybrid
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