
Systems Engineer – AI Data Centers
Posted 6 hours ago

Posted 6 hours ago
This is a fully remote position, open to applicants in United States.
• Engage in or oversee engineering initiatives at the system level for energy storage applications focused on AI data centers.
• Establish requirements, create architectures, manage interfaces, and evaluate performance metrics.
• Offer technical guidance across multidisciplinary teams and address intricate engineering challenges.
• Identify technical issues within emerging application sectors and convert customer and market demands into engineering objectives.
• Spearhead technical collaboration with external partners regarding AI data center power architectures, BESS specifications, and validation pathways.
• Generate collaborative technical materials, including whitepapers, seminars, and resources for customers.
• Represent the team in engagements with clients, industry associations, and strategic stakeholders.
• Propel qualification initiatives for GE Vernova energy storage systems and power conversion technologies.
• Recognize emerging application requirements and product capability deficits in AI data centers.
• Lead the investigation into battery degradation under AI data center load profiles and unconventional duty cycles.
• Establish testing and modeling strategies for lifetime predictions at the cell, module, and system levels.
• Coordinate research and engineering teams to enhance technical comprehension and application readiness.
• Translate research findings into design recommendations, validation priorities, and system suggestions.
• Formulate and manage a battery degradation task force.
• Create system-level models to evaluate battery and storage performance.
• Assess rapid AI load transients, load shedding and acceptance, N+1 backup strategies, grid-forming frequency control, ride-through capabilities, and interactions with turbine-based generation and other power assets.
• Leverage modeling and analysis to inform architectural decisions, control strategies, and mitigations of technical risks.
• Bachelor's degree in Electrical, Chemical, Systems, or Materials Engineering from an accredited institution.
• Exceptional oral and written communication capabilities.
• Proficient in documenting, planning, marketing, and executing programs.
• Self-motivated individual eager to learn across various engineering fields.
• Capable of working autonomously as well as collaboratively within a team.
• Occasional travel may be required.
• Complete remote work flexibility.
• Relocation assistance is not available.
Leidos
Cornerstone Capital Bank
Hyland
CARE
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