5 дней назад
Director of Engineering (Modeling & Rendering, Simulation, Distributed Computing, QA)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director of Engineering (Modeling & Rendering, Simulation, Distributed Computing, QA): Leading the engineering organization building nTop’s modeling and rendering engine, physics simulation, distributed computing platform, and quality function with an accent on roadmap execution, AI-assisted development, and automation. Focus on delivering a zero-to-one collaborative product with AI agents while maintaining existing products, scaling engineering management, and improving software delivery speed.
Location: Remote roles available in Germany, the United Kingdom, and the United States, with a US headquarters option in New York.
Company
builds parametric design software for complex geometry and engineering problems in aerospace, defense, propulsion, and industrial energy.
What you will do
- Lead the engineering organization responsible for modeling and rendering, simulation, distributed computing, and quality engineering.
- Translate platform strategy into engineering plans with clear ownership, sequencing, and execution accountability.
- Hire, develop, and coach engineering managers across multiple platform teams.
- Lead the adoption of an AI-assisted software development lifecycle in partnership with AI and hardware partners.
- Improve the full delivery path from planning and development through testing, quality, and release by increasing automation.
- Deliver the next-generation collaborative product while continuing to ship and improve existing products.
Requirements
- Significant experience leading engineering organizations and managing engineering managers across multiple teams.
- Demonstrated success making engineering planning, development, testing, or delivery faster.
- Experience delivering a new product from zero to one while maintaining existing products.
- Hands-on experience adopting AI-assisted development, with a clear view of its impact on process, staffing, and quality.
- Technical depth in geometry, GPU computing, physics simulation, or distributed systems.
- Strong prioritization and decision-making skills under ambitious timelines.
Nice to have
- Experience with CAD, CAE, PLM, engineering software, or other domains where errors are costly.
- Experience building real-time collaborative or multi-user systems.
- Experience modernizing quality engineering through automated, continuous testing.
- Experience leading distributed teams across US and European time zones.
- Familiarity with C++ and Python codebases and GPU-accelerated computing.
Culture & Benefits
- Work on a next-generation product where engineers and AI agents design together.
- Collaborate with leading AI and hardware partners.
- Report directly to the CTO and represent platform engineering across R&D and the wider company.
- Join a diverse and inclusive equal opportunity workplace.
Hiring process
- Resumes are reviewed and employment decisions are made by the hiring team.
- Reasonable accommodations are available during the interview process.
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