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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Power Architect - Data Center Infrastructure - **Company:** STEPS, INC - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Computer Engineering, Data Centers, Ethernet, InfiniBand, PCI Express, Nvme - **Published:** August 21, 2026 - **Apply:** https://www.dice.com/job-detail/04ba203b-efb7-430d-8a4d-aa16f0fe9ad6 ## About the Role * Deep knowledge of data center power architecture and infrastructure. * Experience designing Grid-to-Chip power delivery systems. * Expertise in AC-DC and DC-DC conversion architecture. * Experience with UPS systems, PDUs, rack power shelves, and busbar architecture. * Strong understanding of high-power rack architectures for hyperscale and AI workloads. * Familiarity with server and accelerator platform power delivery requirements. * Understanding of CPU/GPU compute platforms and their impact on power delivery. * Knowledge of technologies including PCIe, CXL, Ethernet, InfiniBand, and NVMe/NVMe-oF. * Ability to evaluate system-level power efficiency and reliability trade-offs., * BS, MS, or PhD in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a related discipline. * 10+ years of experience in power architecture or power systems design. * Extensive experience designing power infrastructure for data center platforms. * Demonstrated expertise in Grid-to-Chip power architecture and high-power rack systems. * Strong background in power electronics and system-level power delivery design. * Experience influencing architecture decisions across cross-functional engineering teams. * Experience working with hyperscale data center operators, server OEMs, or infrastructure vendors. ## Description Our client is seeking a Power Architect - Data Center Infrastructure to lead the development of next-generation Grid-to-Chip power delivery architectures supporting hyperscale and enterprise data center platforms. This role will drive system-level power strategy across facility, rack, and board levels, with a focus on efficient, scalable, and reliable power solutions for rapidly increasing AI/HPC power requirements. The ideal candidate brings deep experience in data center power infrastructure, power conversion, distribution, and system-level architecture., * Define and drive end-to-end data center power architecture spanning the utility/grid interface, UPS systems, power distribution, rack-level power shelves, and board-level voltage regulation. * Lead next-generation Grid-to-Chip power delivery strategies for hyperscale and AI/HPC data center platforms. * Architect high-efficiency power conversion and distribution systems for modern compute platforms. * Translate AI, cloud, and HPC workload trends into facility-, row-, and rack-level power requirements. * Develop reference power architectures and system design guidelines. * Evaluate and optimize AC-DC and DC-DC power conversion topologies, including centralized, distributed, and intermediate bus architectures. * Lead trade-off analysis across efficiency, scalability, reliability, and cost. * Develop architectural strategies supporting 100kW+ racks, AI clusters, and advanced accelerator platforms. * Develop proof-of-concept systems and reference designs with internal and external engineering teams. * Collaborate with system engineering, product management, silicon partners, hyperscale customers, and ecosystem partners. * Provide technical leadership and influence product roadmaps for evolving hyperscale infrastructure requirements. ## Related Videos - [The Gashlycrumb Tinies of AI Networking You Must Know (or Languish!)](https://www.wearedevelopers.com/videos/2067-the-gashlycrumb-tinies-of-ai-networking-you-must-know-or-languish) - [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) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Building a hypercar from scratch](https://www.wearedevelopers.com/videos/607-building-a-hypercar-from-scratch) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [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) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)