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