Simulation SME

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 an experienced Simulation & Scenario SME (Subject Matter Expert) to bridge deep operational domain expertise with our simulation engineering capabilities. This is a critical role responsible for ensuring that our digital twin simulations accurately model real-world operations, scenarios are realistic and valuable, and simulation outputs are validated against operational reality.

You will work at the intersection of domain knowledge and technology — defining simulation scenarios, validating physics and logic models, identifying edge cases, and ensuring simulations deliver actionable insights for operational decision-making. This role partners closely with simulation engineers, data scientists, and client stakeholders.

Key Focus Areas

Domain Expertise

• Deep understanding of complex operations (logistics, supply chain, transportation, energy, utilities, or similar asset-intensive industries)
• Knowledge of operational workflows, resource scheduling, and capacity planning
• Understanding of operational constraints, regulations, and safety requirements
• Familiarity with dispatch, fleet management, or network operations
  
  

Simulation & Scenario Design

• Scenario definition and use case development for what-if analysis
• Simulation validation and fidelity assessment
• Operational constraint modeling and edge case identification
• Cross-industry simulation pattern recognition
  
  

Key Responsibilities

• Define realistic simulation scenarios from operational use cases and business needs
• Identify and prioritize critical what-if scenarios by business value and impact
• Build scenario libraries for normal, edge, and stress conditions
• Translate business questions into simulation experiments and parameters
• Validate simulations against real-world behavior and historical data
• Define fidelity benchmarks, acceptance criteria, and approve models for production
• Translate domain rules, constraints, and heuristics into simulation requirements
• Ensure simulations meet regulatory, safety, and compliance needs
• Collaborate with operations, simulation, and data teams on scenarios and KPIs
• Present results, gather feedback, and evolve scenarios via a continuous roadmap
  
  

Highly Desirable

• Experience as SME for digital twin or simulation platform implementations
• Background in operations research, process optimization, or continuous improvement
• Familiarity with discrete event simulation concepts and validation approaches
• Experience with operational planning tools, scheduling systems, or optimization software
• Knowledge of multiple industry verticals (enables cross-industry pattern recognition)
• Certifications in operations management, Six Sigma, or related disciplines
  
  

Preferred Qualifications

• 10+ years of experience in operations roles within asset-intensive industries
• Experience with digital transformation, operational analytics, or simulation projects
• Background in operations management, industrial engineering, or related field
• Experience defining requirements for software or simulation systems
• Track record of bridging domain expertise with technology teams
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus