Hiring For Simulation Engineer - Contract role Vaco Binary Semantics

7.0 - 12.0 years

25 - 40 Lacs

Gurugram

Remote

Please find below J.D: Role: Simulation Engineer Job type: 7 months contract Location: 100% remote Shift: 0130 pm to 0930 pm IST Notice: Immediate to 15 days Role Overview: Were seeking a domain expert engineer who can build highly accurate digital twins of utility networks and metering infrastructure. You’ll be responsible for creating simulation frameworks that model real-world electrical, water, and gas networks with mathematical precision. This role combines deep technical expertise in Java 21+ and Kubernetes with domain knowledge in electrical engineering, physics, or mathematics. You’ll work closely with utility customers to understand their network topologies and create simulations that accurately represent their infrastructure. Team Dynamics and collaboration Domain Expertise Sharing - Translate complex electrical engineering and physics concepts for software developers - Collaborate with utility engineers to understand real-world network behavior and constraints - Create educational materials that help the team understand utility domain concepts Collaborative Problem-Solving - Work with data processing engineers to ensure simulation outputs match real meter data formats - Partner with infrastructure teams to optimize simulation performance on Kubernetes clusters - Collaborate with customer success teams to create customer-specific network simulations Technical Documentation & Knowledge Transfer - Document mathematical models and algorithms used in network simulations - Create comprehensive guides for configuring simulations for different utility network types - Maintain simulation accuracy documentation and validation test suites Innovation & Research - Stay current with utility industry standards and emerging network technologies - Research and implement new simulation techniques for improved accuracy - Evaluate and integrate third-party simulation libraries and mathematical frameworks Key Responsibilities • Digital Twin Architecture Design and implement accurate mathematical models of electrical distribution networks Build simulation frameworks for water distribution systems with pressure and flow modeling Create gas network simulations that account for pressure regulation and safety systems • Network Protocol Simulation Implement realistic communication protocol simulation (mesh networks, cellular, RF) Model network latency, packet loss, and communication failures in utility environments Simulate device authentication, encryption, and security protocols 4 • High-Performance Computing Leverage Java 21 virtual threads for massive parallel simulation of network nodes Optimize memory usage and computational efficiency for large-scale network simulations Implement distributed simulation capabilities across Kubernetes clusters • Validation & Accuracy Create comprehensive test suites that validate simulation accuracy against real- world data Implement statistical analysis tools for comparing simulated vs. actual meter readings Build automated regression testing for simulation model changes Skills and qualifications Required • Engineering/Scientific Background (5+ years) Degree in Electrical Engineering, Physics, Mathematics, or related quantitative field Strong understanding of electrical power systems, network analysis, or fluid dynamics Experience with mathematical modeling, numerical analysis, and simulation techniques • Java & Software Development (3+ years) Expert knowledge of Java 21+ with focus on performance optimization and concurrent programming Quarkus framework experience for building cloud-native simulation services - Kubernetes deployment and scaling of compute-intensive applications • Network Protocol Knowledge Deep understanding of communication protocols used in utility networks Experience with network simulation tools and frameworks Knowledge of industrial communication standards (Modbus, DNP3, IEC 61850) Preferred: • Utility Industry Experience - Background working with electric utilities, water utilities, or gas distribution companies - Understanding of SCADA systems, distribution automation, and smart grid technologies - Experience with utility network modeling tools (PowerWorld, ETAP, WaterGEMS) • Advanced Technical Skills - High-performance computing and parallel algorithm development - Machine learning applications for network optimization and predictive modeling - Real-time system development and deterministic processing requirements

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