$ cat jobs/lead-simulation-engineer-gradera-b714b0a67df3.json
Lead Simulation Engineer
About Gradera Gradera defines a new category of enterprise transformation called Software-Orchestrated Services™ - where software orchestrates human expertise, digital workers, and enterprise systems to deliver governed outcomes at scale. As an AI Native Services firm, we help enterprises redesign how work gets done across operations, product, engineering, customer experience, data, and enterprise workflows to move beyond fragmented AI pilots and disconnected automation toward measurable business outcomes. OVERVIEW We are seeking a hands-on, visionary Lead Simulation Engineer to drive the technical direction, architecture, and delivery of our simulation platform for digital twin solutions. This is a foundational leadership role responsible for building the simulation engine that powers real-time scenario planning, what-if analysis, and operational optimization across enterprise digital twins. You will lead a team of simulation engineers, architect the simulation platform using industry standards (OpenUSD, FMI/FMU), and bridge the gap between physics-based modeling and real-time operational decision-making. We value candidates with strong simulation fundamentals using scientific computing background. The simulations thus created should be compatible to run in web or game engines (Unity, Unreal). OUR SIMULATION PLATFORM STACK INCLUDES: PHYSICS & OPTIMIZATION • Physics engines (PhysX, Bullet) for dynamics and kinematics • OR-Tools for optimization and constraint solving • Multi-physics modeling (mechanical, thermal, fluid where applicable) DEVELOPMENT • Rust and/or Python for simulation development • Real-time simulation composition, loops, time-stepping, and state management • Run simulations on data available from the past along with “what-if” scenarios composed based on synthetically generated data. • Calibrate and overlay for real world equivalents of the simulations run. • Build simulations that could be scaled for multi/distributed processing, benchmarking, and t
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