Lead Systems Engineer - Data Centers

Overview

Lead the systems engineering of electrical systems for data center applications at Eaton India Innovation Center, applying MBSE and systems engineering practice to define, model, analyze and evaluate complex data center electrical and infrastructure architectures.

What you'll do

• Apply systems engineering and MBSE principles to define, model, analyze, and evaluate complex data center electrical and infrastructure architectures.
• Develop and maintain system-level architecture models spanning requirements, functional, logical, and physical views for data center applications.
• Integrate multi-domain models across electrical power, thermal management, controls, cooling infrastructure, mechanical systems, software, and IT load domains.
• Establish modeling assumptions, interfaces, abstraction levels, and interoperability standards to ensure consistency across architecture and performance models.
• Connect architecture models with discipline-specific analysis models using standards and workflows such as FMU, co-simulation, and digital engineering toolchains.
• Model coupled system behaviors including electrical losses, thermal response, control strategies, reliability considerations, and operational scenarios.
• Perform electrical system analyses such as steady-state and transient studies, power flow, efficiency and loss modeling, fault analysis, protection coordination, and disturbance response.
• Analyze data center power distribution architectures from utility interface and MV/LV distribution through UPS, switchgear, transformers, PDUs, rack-level distribution, and IT loads.
• Evaluate conventional and emerging architectures, including centralized versus distributed power conversion, modular blocks, scalable designs, and alternative power delivery approaches.
• Conduct multi-attribute trade-space analysis to support architecture down-selection using metrics such as cost, efficiency, energy use, thermal performance, availability, resilience, footprint, maintainability, and scalability.
• Analyze requirements and assess compliance, define interfaces, and flow down system requirements to subsystems and components.
• Develop decision-support models that quantify architectural trade-offs and translate modeling results into clear, evidence-based recommendations.
• Validate models against design data, test results, vendor inputs, and operational scenarios to ensure appropriate fidelity and credibility.
• Collaborate with architecture, electrical hardware, thermal, controls, software, mechanical, reliability, and program teams to align models, assumptions, interfaces, and decisions.
• Serve as the technical focal point for data center system modeling, ensuring work is aligned with program objectives, customer needs, and architecture tradeoff workflows.
• Apply and influence modeling methods, standards, and best practices across MBSE, electrical analysis, thermal-fluid modeling, controls simulation, reliability analysis, optimization, and CAD-enabled workflows.
• Communicate complex modeling outcomes to technical leadership, customers, and stakeholders through concise, decision-ready narratives.
• Ensure mature systems engineering processes, including adoption of relevant tools across the systems engineering lifecycle.

What you'll need

• Engineering Graduate, Post Graduate or PhD in electrical engineering or electronics engineering, or equivalent
• Overall minimum 12+ years of relevant experience in systems engineering (electrical power systems)
• 10+ years of experience in electrical systems engineering, system modeling, power systems analysis, or data center infrastructure engineering
• Strong expertise in systems engineering and MBSE, including CONOPS, requirements, functional/logical/physical architecture, interfaces, behaviors, operational scenarios, and verification traceability
• Demonstrated ability to apply MBSE methods to complex engineered systems, including model structure, abstraction levels, reusable architecture patterns, interface definition, and digital-thread implementation
• Hands-on experience with electrical system simulation and analysis tools such as MATLAB/Simulink, ETAP, SKM, PSCAD or equivalent platforms
• Proven experience modeling data center or large-scale industrial power distribution systems, including utility interface, MV/LV distribution, transformers, switchgear, UPS, PDUs, busway, rack-level distribution, and IT loads
• Strong requirements engineering capability, including stakeholder needs capture, requirements development, flow-down, allocation, compliance management, traceability, and change impact analysis
• Expertise in system architecture, control system modeling, operating modes, state behavior, source-transfer scenarios, disturbance response, and control-loop dynamics
• Knowledge of applicable data center, electrical safety, power quality, and systems engineering standards, including relevant UL, IEC, IEEE, ISO/IEC 15288, and data center KPI frameworks
• Strong understanding of electrical power studies, including load flow, equipment loading, voltage drop, power factor, harmonics, short-circuit analysis, fault duty, protection coordination, selectivity, transient stability, voltage/frequency recovery, and grid interaction at the point of common coupling
• Ability to connect requirements, architecture, load assumptions, static analysis, dynamic analysis, cost/footprint models, reliability models, and KPI rollups into a coherent digital thread
• Working knowledge of multi-domain and multi-physics modeling across electrical, thermal, cooling/fluid, controls, mechanical, software, reliability, and IT load domains
• Familiarity with thermal and cooling analysis concepts relevant to data centers, including electrical losses as heat sources, coolant flow, temperature margins, cooling power, PUE, WUE, and thermal constraints on rack density
• Experience with reliability, availability, maintainability, and resilience analysis, including redundancy architectures, N/N+1/2N concepts, single points of failure, MTBF/RBD concepts, expected downtime, and operational risk scenarios
• Ability to perform multi-attribute trade-space analysis using constraints, objectives, scenarios, sensitivity analysis, Pareto comparison, weighting methods, and decision-ready KPI summaries
• Experience integrating MBSE, analysis, BIM/Revit, CAD, digital twin, FMU/co-simulation, and data-management workflows to support architecture evaluation and model reuse
• Strong analytical problem-solving and technical communication skills
• Tools: CATIA Magic, IBM Rhapsody, DOORS, JAZZ, MATLAB/Simulink, ETAP, SKM, PSCAD, or equivalent platforms

Nice to have

• INCOSE ASEP/CSEP or equivalent systems engineering certification
• Good familiarity with MBSE methodologies and practices
• Exposure to Lean or Agile methodologies and practices

Details

• Location: Pune, India