Simulation Engineer

About Gradera — Digital Twin & Physical AI Platform 

At Gradera, we are building a next-generation Digital Twin and Physical AI platform that enables enterprises to model, simulate, and optimize complex real-world systems. Our work brings together strategy, architecture, data, simulation, and experience design to power decision-making across large-scale operational environments such as manufacturing, logistics, and supply chain networks. 

This platform-led initiative applies AI-native execution, advanced simulation, and governed orchestration to help organizations test scenarios, predict outcomes, and continuously improve performance. We operate with an enterprise-first mindset prioritizing reliability, transparency, and measurable business impact as we build intelligent systems that scale beyond a single industry or use case. 

Simulation Engineer
 

Overview 

We are seeking skilled Simulation Engineers to join our Simulation & Scenario Enablement team. You will design, develop, and optimize simulation models that power digital twin platforms, enabling real-time scenario planning, what-if analysis, and operational optimization. This is a hands-on role involving physics-based modeling, discrete event simulation, and co-simulation development using industry standards. 

We value candidates with strong simulation fundamentals — whether from game engines (Unity, Unreal) or scientific computing backgrounds. 

Our simulation platform stack includes: 

Scene Description & Composition 

OpenUSD (Universal Scene Description) for hierarchical scene composition and asset management 

Scene graph architecture, layering, and variant sets 

Asset pipelines and schema design 

Simulation Standards & Co-Simulation 

FMI/FMU (Functional Mock-up Interface) for model exchange and co-simulation 

Multi-domain system modeling and integration 

Discrete event simulation (SimPy) and continuous simulation 

Physics & Optimization 

Physics engines (PhysX, Bullet) for dynamics and kinematics 

OR-Tools for optimization and constraint solving 

Physics-based modeling (dynamics, kinematics, constraints) 

Development 

Python and C++ for simulation development 

Real-time simulation loops, time-stepping, and state management 

Performance optimization and scalability 

Key Responsibilities 

Design and implement discrete event simulation models using custom engines 

Develop FMU models and integrate them into co-simulation frameworks (FMI) 

Build OpenUSD scene compositions for simulation state and asset management 

Implement physics-based models for dynamics, kinematics, and constraints 

Build optimization algorithms for scheduling and resource allocation 

Create domain-agnostic simulation patterns reusable across use cases 

Write clean, well-tested Python/C++ code and optimize for real-time performance 

Build simulation data pipelines for state management and event processing 

Partner with ML, data, and visualization engineers for end-to-end workflows 

Participate in reviews and document models, algorithms, and assumptions 

Preferred Qualifications 

7+ years of experience in simulation engineering, game engine development, or scientific computing 

Bachelor’s or Master’s in Computer Science, Physics, Mechanical Engineering, Aerospace, Robotics, or related field 

Track record of delivering simulation models in production environments 

Experience working in agile, cross-functional teams 

Highly Desirable 

Experience building simulations for digital twin platforms 

Background in operations research or logistics optimization 

Experience with USD for Unity or USD for Unreal plugins 

Familiarity with co-simulation orchestration and multi-domain integration 

Experience with real-time simulation for operational decision support 

Contributions to open-source simulation or game engine projects 

Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 
Department: Engineering 
Employment Type: Full-Time