Systems Engineer – AI Data Centers

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Systems Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GE Vernova

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

GE Vernova is a leader in the energy sector with over 130 years of experience, dedicated to electrifying the world while decarbonizing it. The company offers a broad portfolio of energy solutions including gas, hydro, nuclear, and wind power technologies, aimed at providing reliable, affordable, and sustainable energy. With a strong focus on innovation, GE Vernova plays a significant role in reducing the carbon footprint of global power systems and supports the transition to net-zero emissions by 2030.

📋 Description

• 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

• 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

• Fully remote work arrangement • Relocation assistance not provided