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Salary
≈ $18k – $45k per year (Estimated)
Location
In office (Pune)
Seniority
Staff · 10+ years exp

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Aug 28, 2026. Eaton scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Eaton is a power management company founded in 1911 as a truck axle maker and now incorporated in Dublin with operational headquarters in Beachwood, Ohio. Its largest business by far is electrical, supplying circuit breakers, switchgear, uninterruptible power supplies and distribution equipment, a portfolio that has become unusually valuable as data centre construction and grid electrification accelerate demand for power infrastructure. The group also builds aerospace hydraulic and fuel systems, electric vehicle powertrain components and vehicle drivetrain products, and sells the Brightlayer software suite that monitors and optimises the equipment it manufactures.

What you’ll do:

Lead Engineer - Systems Engineering

This role is responsible for leading systems engineering and model-based systems engineering (MBSE) activities for complex electrical systems with a primary focus on data center power and infrastructure architectures. The position develops system architectures, requirements, digital models, and engineering analyses that support the design, validation, and optimization of next-generation data center solutions. The role serves as a technical leader for system modeling, architecture trade studies, and cross-domain integration, ensuring traceability from stakeholder needs through design, verification, and operational performance.

Systems Engineering & Architecture

  • Apply Systems Engineering and MBSE methodologies to complex data center electrical systems.
  • Develop and manage requirements, functional, logical, and physical architectures.
  • Define system interfaces, behaviors, operating modes, and V&V strategies.
  • Develop CONOPS, operational scenarios, and maintain end-to-end requirements traceability.
  • Conduct architecture assessments and trade-off studies to support technical decision-making.

Electrical System Analysis

  • Perform power flow, voltage drop, power quality, short-circuit, protection coordination, fault, and transient studies.
  • Evaluate utility interconnections and MV/LV power distribution systems.

Data Center Infrastructure Modeling

  • Analyze end-to-end power architectures from utility service entrance to IT loads.
  • Evaluate switchgear, transformers, UPS, PDUs, busways, and rack-level power distribution systems.
  • Assess conventional, modular, distributed, and next-generation data center power architectures.

Trade-Off & Optimization Studies

  • Conduct multi-attribute trade-space analyses for architecture selection.
  • Evaluate solutions based on cost, efficiency, energy use, thermal performance, reliability, availability, resilience, scalability, maintainability, and footprint.
  • Develop decision-support models and recommend optimal solutions.

Validation & Verification

  • Validate system models using design data, test results, supplier inputs, and operational scenarios.
  • Ensure model fidelity, credibility, and compliance with program objectives.
  • Support verification planning and lifecycle validation activities.

Reliability & Resilience Engineering

  • Assess system reliability, availability, maintainability, and resilience.
  • Analyze redundancy architectures (N, N+1, 2N), single points of failure, and operational risks.
  • Apply reliability block diagrams and availability modeling techniques.

Cross-Functional Technical Leadership

  • Collaborate across electrical, controls, thermal, software, mechanical, reliability, and program teams.
  • Act as the technical lead for data center system modeling and architecture initiatives.
  • Drive systems engineering best practices, standards, and methodologies.
  • Present complex technical findings and actionable recommendations to leadership, customers, and stakeholders.

Qualifications:

  • Bachelor's/ Master Degree in Electrical Engineering, Electronics Engineering, Power Engineering, or a related discipline.

Preferred

  • Minimum 10+ years of relevant experience in systems engineering, electrical power systems, or data center infrastructure engineering.

Skills:

Systems Engineering & MBSE

  • Extensive experience in system and subsystem-level systems engineering.
  • Strong knowledge of the systems engineering lifecycle and MBSE practices.
  • Expertise in requirements management, architecture development, interface management, and V&V planning.
  • Experience with digital engineering, digital thread, and model-based development.

Data Center Electrical Systems

  • Expertise in utility interconnection, grid interface, MV/LV distribution systems.
  • Hands-on experience with switchgear, transformers, busways, PDUs, UPS systems, and rack-level power distribution.
  • Strong understanding of data center architectures, KPIs, and power infrastructure design.

Power System Analysis

  • Proficient in power flow, fault, short-circuit, protection coordination, and power quality studies.
  • Experience in transient stability and disturbance analysis.

Multi-Domain Modeling & Simulation

  • Experience in electrical, thermal, controls, reliability, and infrastructure system modeling.
  • Skilled in dynamic simulations, digital twins, and integrated system analysis.

Reliability & Resilience Engineering

  • Expertise in reliability modeling, availability analysis, MTBF concepts, and maintainability assessments.
  • Experience with redundancy architectures (N, N+1, 2N), risk analysis, and single-point-of-failure evaluations.

Standards & Compliance

  • Strong knowledge of ISO/IEC 15288, IEEE, IEC, UL, and data center industry standards.
  • Familiar with electrical safety, compliance, and power quality requirements.

Engineering Tools

  • MATLAB/Simulink, ETAP, SKM, PSCAD, Digital Twin, and Co-simulation platforms.

Leadership & Collaboration

  • Proven ability to lead multidisciplinary engineering initiatives.
  • Strong stakeholder management, collaboration, and influencing skills.

Analytical & Communication Skills

  • Strong systems thinking, problem-solving, and data-driven decision-making capabilities.
  • Excellent written and verbal communication skills with the ability to present complex technical concepts to leadership, customers, and cross-functional teams.
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