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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Center Solution Architect - **Company:** GE Vernova - **Location:** Boston, MA, United States (Remote available) - **Experience:** Expert - **Salary:** $147,700.0 - **Contract:** Permanent contract - **Skills:** Adobe Flash, Artificial Intelligence, Data Centers, Uptime - **Published:** August 6, 2026 - **Apply:** https://www.juju.com/job/00000000glsmls ## About the Role + Must be able to travel, particularly within North America and EU, plus other locations + Should have experience in infrastructure facility monitoring, telemetry, AI training and inference workload profiles + Exposure in designing facility cooling and liquid cooling at the rack a plus Required Qualifications: + Bachelors in Electrical Engineering or related field from an accredited college or university + Overall 10+ years of relevant data center power train architect experience at hyperscaler, colocation, or top-tier OEM supplier with extensive hyperscale experience + Willingness to travel up to 30% of the time including local and international. + Must have personally designed, peer-reviewed, and/or operated/maintained the electrical systems for at least one hyperscale AI training (>=500MW) campus + **Must have experience with:** + AC/DC (esp 800VDC) power train and distribution architecture + MV/LV switchgear and distribution architectures and equipment + MV/LV UPS, solid-state transformers + Battery Energy Storage Systems + Source/load Power Quality issues and ways to resolve + System TCO / design tradeoffs + Aware of relevant Open Compute Project, NVidia/AMD, IEEE, NEMA, UL/IEC, ASHRAE, Uptime/TIA standards, protocols, and practices Preferred Qualifications: + Selected candidate preferred to be based in a major US Data Center markets: Pacific Time Zone (esp. SF Bay Area, Seattle) ## Description + Serve as a "grid-to-GPU" power train technical architect for hyperscalers (AI training, AI inference, general purpose cloud), colocation (AI-centric and general tenancy models). Should be very knowledgeable about industry migration to 800V DC architectures. + Serve as GEV's primary customer-facing technical authority for all AI training campus and hyperscale DC opportunities. Must have good customer presence and confident in solution architecture. + Develop and own GEV "Campus Power Reference Architectures" - experience in designing and documenting single-line diagrams and power system designs for each of the data center archetypes using GEV products + Lead technical discovery sessions with hyperscaler DC engineering teams - documenting power requirements, site constraints, and competitive install base + Author technical proposals and power system studies (load flow, fault analysis, arc-flash) in support of RFP responses + Collaborate with NPI/PM team to validate new product designs against real customer power systems (system design, sizing, and integration) + Conduct internal technical training sessions for COE BD team and BU sales (minimum quarterly) on Data Center power architecture + Represent and drive standards for GEV in OCP, Nvidia, other relevant organizations (joint role with Standards Liaison) + Build and maintain a library of GEV data center customer case studies and reference designs for use in proposals and marketing. Help generate detailed competitive analysis. + Serve as the center of competency for data center infrastructure design and operations/maintenance (full lifecycle perspective and knowledge). Disseminate knowledge withing GEV technical community ## Related Videos - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [DevOps at Netflix](https://www.wearedevelopers.com/videos/270-devops-at-netflix) - [AI Factories at Scale](https://www.wearedevelopers.com/videos/1139-ai-factories-at-scale) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [How to build a sovereign European AI compute infrastructure](https://www.wearedevelopers.com/videos/1102-how-to-build-a-sovereign-european-ai-compute-infrastructure) ## Related Articles - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [5 Reasons Why Attending Conferences in 2026 Matters More Than You Think](https://www.wearedevelopers.com/magazine/692-5-reasons-why-attending-conferences-in-2026-matters-more-than-you-think) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)