Lead Engineer - System Engineering

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.

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.