AI Load Power Strategy Director
Posted 20 Jul 2026
Advertised as “Director, AI Load Power Strategy”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8–12 yrs
- Management level
- People management
No salary listed for this role.
Field of studyElectrical Engineering (or related)
Study levelBachelor's
CertificationsProfessional Engineer
Field of studyElectrical Engineering, Power Systems
Study levelMaster's
About Nscale
NScale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. NScale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
At NScale, our Design and Construction team plays a critical role in delivering data center facilities that are optimized for AI deployments.
We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an NScaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future
About the Role
● We are looking for a Director of AI Load Power Strategy to lead the development of power strategy specific to AI/GPU load profiles for NScale's data center portfolio.
● This leader will own translation of AI/GPU compute growth scenarios into concrete power design and capacity requirements.
● You will lead a team of Staff Engineers delivering AI load power strategy and analysis.
What You'll be Doing (Responsibilities)
Load Strategy & Forecasting
● Build and maintain load forecasts based on AI/GPU growth scenarios, translating them into power capacity and design requirements.
● Analyze unique power profiles of AI/GPU workloads (e.g., transient loads, high density) and their implications for infrastructure design.
● Partner with Utility Development and Power Procurement to align load strategy with available capacity.
● Evaluate power supply strategies combining grid supply and on-site/behind-the-meter generation to meet AI/GPU load requirements, balancing reliability, schedule, and cost.
Engineering & Design Support
● Provide engineering leadership on power design requirements driven by AI/GPU load characteristics.
● Collaborate with Substation & Grid Engineering on design coordination for high-density loads.
● Support system studies (load flow, short-circuit, reliability) reflecting AI/GPU load profiles.
● Guide integration of generation, UPS, BESS, and microgrid controllers to improve resilience for AI/GPU workloads.
Team Leadership
● Lead and develop a team of Staff Engineers supporting AI load power strategy.