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Systems Engineer – AI Data Centers
GE Vernova. Participate in or lead system-level engineering efforts for AI data center-focused energy storage applications .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Data Center-Focused Energy Storage Applications, including system-level engineering, performance assessment, and technical leadership. Proficient in developing architectures, managing interfaces, and translating market needs into engineering priorities.
Highest-signal resume keywords
System-Level EngineeringTechnical LeadershipBattery Degradation AnalysisAI Data Center Power ArchitecturesRequirements Definition
ATS Keywords
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Hard Skills
Electrical EngineeringChemical EngineeringSystems EngineeringMaterials EngineeringModeling and AnalysisPerformance AssessmentTesting and Modeling ApproachesArchitecture DevelopmentTechnical Problem DefinitionQualification Pathways
Soft Skills
Strong Oral CommunicationStrong Written CommunicationSelf-StarterTeam CollaborationProgram Execution
Certifications & Qualifications
Bachelor's Degree in Engineering
Industry Keywords
Energy StorageAI Data CenterBattery Energy Storage Systems (BESS)Power Conversion TechnologiesGrid-Forming Frequency Control
About the role
Key responsibilities & impact- Participate in or lead system-level engineering efforts for AI data center-focused energy storage applications
- Define requirements, develop architectures, manage interfaces, and assess performance
- Provide technical leadership across cross-functional teams and resolve complex engineering issues
- Define technical problems in emerging application areas and translate customer and market needs into engineering priorities
- Lead technical collaboration with external partners on AI data center power architectures, BESS requirements, and qualification pathways
- Develop joint technical content including whitepapers, seminars, and customer-facing materials
- Represent the team in discussions with customers, industry groups, and strategic partners
- Drive qualification efforts for GE Vernova energy storage and power conversion technologies
- Identify emerging AI data center application needs and product capability gaps
- Lead analysis of battery degradation under AI data center load profiles and non-traditional duty cycles
- Define testing and modeling approaches for cell, module, and system-level lifetime predictions
- Coordinate research and engineering teams to improve technical understanding and application readiness
- Translate findings into design guidance, validation priorities, and system recommendations
- Build and coordinate a battery degradation task force
- Develop system-level models to assess battery and storage performance
- Evaluate fast AI load transients, load shed and acceptance, N+1 backup, grid-forming frequency control, ride-through, and interactions with turbine-based generation and other power assets
- Use modeling and analysis to support architecture decisions, controls strategies, and technical risk reduction
Requirements
What you’ll need- Bachelor's degree in Electrical, Chemical, Systems or Materials Engineering from an accredited university or college
- Strong oral and written communication skills
- Ability to document, plan, market, and execute programs
- Self-starter with willingness to learn across engineering disciplines
- Ability to work independently and in a team environment
- Limited travel required
Benefits
Comp & perks- Fully remote work arrangement
- Relocation assistance not provided