{"id":2828115,"url":"https://alion.io/job/eaton-lead-engineer-systems-engineering","title":"Lead Engineer - Systems Engineering","company":{"id":6044,"name":"Eaton","domain":"eaton.com","url":"https://alion.io/company/eaton","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":88,"open_postings":307,"ghost_share":0.046,"stale_share":0.306,"repost_share":0.088,"time_to_fill_p50_days":41,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Digital Twin","optional":false},{"name":"MATLAB","optional":false},{"name":"Simulink","optional":false}],"status":"live","first_seen_at":"2026-07-27T07:57:39Z","employer_posted_date":"2026-07-30","last_verified_at":"2026-10-22T08:48:52Z","board_verified":true,"closed_at":null,"days_open":87,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":87},"description":"What you’ll do:\nEaton is a diversified power management company providing energy-efficient solutions that help our customers effectively manage electrical, hydraulic and mechanical power. The company is a global technology leader in aerospace fuel, hydraulic, electric and actuation systems for commercial and military use; and truck and automotive drivetrain and powertrain systems for performance, fuel economy and safety; electrical products, systems and services for power quality, distribution, control, and transmission. Eaton India Innovation Center (EIIC) has an opening for Lead Engineer - Systems Engineering. This position will be based in Pune, India.\nEIIC Office of Chief Engineer (OCE) organization is aligned to CTO’s strategy to drive “One Eaton Engineering Excellence”. EIIC OCE will work with global Engineering business engineering leaders from Electrical and Industrial Sector businesses.\nThe position will be responsible for systems engineering activities, pertaining to electrical systems, with initial focus on Data Centers. Responsibilities include systems modeling, systems requirements, system architecture/ design tradeoffs for Electrical Systems. Activities would span systems engineering, modelling and validation activities for new product development including, analyzing requirements and assessing compliance, defining interfaces, flowdown of system requirements to subsystems & components, system architecture design tradeoffs, around Systems Engineering (SE) centric methodologies, processes and practices.\nA successful candidate will need knowledge and prior experience in systems engineering pertaining to Electrical Systems product development process at system and subsystem levels, and serve as an practitioner in systems engineering, and ensure mature systems engineering processes, including adoption of relevant tools across the systems engineering lifecycle.\nApply systems engineering and MBSE principles to define, model, analyze, and evaluate complex data center electrical and infrastructure architectures.\nDevelop and maintain system-level architecture models spanning requirements, functional, logical, and physical views for data center applications.\nIntegrate multi-domain models across electrical power, thermal management, controls, cooling infrastructure, mechanical systems, software, and IT load domains.\nEstablish modeling assumptions, interfaces, abstraction levels, and interoperability standards to ensure consistency across architecture and performance models.\nConnect architecture models with discipline-specific analysis models using standards and workflows such as FMU, co-simulation, and digital engineering toolchains.\nModel coupled system behaviors including electrical losses, thermal response, control strategies, reliability considerations, and operational scenarios.\nPerform electrical system analyses such as steady-state and transient studies, power flow, efficiency and loss modeling, fault analysis, protection coordination, and disturbance response.\nAnalyze data center power distribution architectures from utility interface and MV/LV distribution through UPS, switchgear, transformers, PDUs, rack-level distribution, and IT loads.\nEvaluate conventional and emerging architectures, including centralized versus distributed power conversion, modular blocks, scalable designs, and alternative power delivery approaches.\nConduct 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.\nQualifications:\nEngineering Graduate/ Post Graduate / PhD in electrical engineering / electronics engineering or Equivalent\nOverall min 12+ years of relevant experience in systems engineering (electrical power systems)\n• Strong expertise in systems engineering and MBSE, including CONOPS, requirements, functional/logical/physical architecture, interfaces, behaviors, operational scenarios, and verification traceability.10+ years of experience in electrical systems engineering, system modeling, power systems analysis, or data center infrastructure engineering.\nDemonstrated ability to apply MBSE methods to complex engineered systems, including model structure, abstraction levels, reusable architecture patterns, interface definition, and digital-thread implementation.\nHands-on experience with electrical system simulation and analysis tools such as MATLAB/Simulink, ETAP, SKM, PSCAD or equivalent platforms.\nProven 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.\nStrong requirements engineering capability, including stakeholder needs capture, requirements development, flow-down, allocation, compliance management, traceability, and change impact analysis.\nExpertise in system architecture, control system modeling, operating modes, state behavior, source-transfer scenarios, disturbance response, and control-loop dynamics.\nKnowledge 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.\nStrong 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.\nAbility to connect requirements, architecture, load assumptions, static analysis, dynamic analysis, cost/footprint models, reliability models, and KPI rollups into a coherent digital thread.\nWorking knowledge of multi-domain and multi-physics modeling across electrical, thermal, cooling/fluid, controls, mechanical, software, reliability, and IT load domains.\nFamiliarity 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.\n\nSkills:\nDevelop decision-support models that quantify architectural trade-offs and translate modeling results into clear, evidence-based recommendations.\nValidate models against design data, test results, vendor inputs, and operational scenarios to ensure appropriate fidelity and credibility.\nCollaborate with architecture, electrical hardware, thermal, controls, software, mechanical, reliability, and program teams to align models, assumptions, interfaces, and decisions.\nServe as the technical focal point for data center system modeling, ensuring work is aligned with program objectives, customer needs, and architecture tradeoff workflows.\nApply and influence modeling methods, standards, and best practices across MBSE, electrical analysis, thermal-fluid modeling, controls simulation, reliability analysis, optimization, and CAD-enabled workflows.\nUse relevant tools such as CATIA Magic, IBM Rhapsody, DOORS, JAZZ, MATLAB/Simulink, ETAP, SKM, PSCAD, or equivalent platforms.\nCommunicate complex modeling outcomes to technical leadership, customers, and stakeholders through concise, decision-ready narratives.\nExperience 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.\nAbility to perform multi-attribute trade-space analysis using constraints, objectives, scenarios, sensitivity analysis, Pareto comparison, weighting methods, and decision-ready KPI summaries.\nExperience integrating MBSE (e.g. System Composer), analysis, BIM/Revit, CAD, digital twin, FMU/co-simulation, and data-management workflows to support architecture evaluation and model reuse.\nStrong analytical problem-solving and technical communication skills, with the ability to translate complex modeling results into clear recommendations for technical leaders, customers, and cross-functional stakeholders;\nINCOSE ASEP/CSEP or equivalent systems engineering certification is preferred.\nGood familiarity with MBSE methodologies/ practices\nExposure to Lean/ Agile methodologies and practices","description_format":"text","description_chars":8349,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial Engineering","Aerospace Manufacturing","Energy Management","Automotive Components"],"lifecycle":[{"event":"open","at":"2026-10-19T00:56:55Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long 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