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Senior, highly specialized simulation and game-engine skills create a small candidate pool.
Requires deep simulation, physics, and game-engine expertise, limiting cross-industry transferability.
Explicit 10+ years, leadership requirement, and niche simulation tech make filters stringent.
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Own the architecture and technical strategy for a scalable, extensible simulation platform powering real-time and batch what-if analysis for enterprise digital twins.
Lead a team of simulation engineers responsible for development of physics-based, discrete event simulation models and optimization algorithms for scheduling and resource allocation.
Establish engineering standards, optimize simulation performance, and integrate simulation with enterprise data and ML pipelines.
10+ years of simulation engineering or game engine development experience with 4+ years in technical leadership roles.
Bachelor's or master's degree in computer science engineering, physics, or mathematics.
Hands-on experience with scientific computing and building production-grade simulation platforms.
Proficiency with physics engines (PhysX, Bullet), Rust or Python for simulation development, and knowledge of real-time simulation in web or game engines (Unity, Unreal).
Experienced in architecting simulation platforms specifically for digital twin solutions with real-time operational decision support.
Skills include operations research or logistics optimization, and integration of multi-domain co-simulation frameworks.
Familiarity with industry standards such as OpenUSD, FMI/FMU, and involvement in open source simulation projects or contributions to visualization pipelines and game engine plugins.