Director: AI Load Power & Data Center Strategy

Greenhouse Software, Inc.; Northern (KY); Hybrid; USD 160,000 - 300,000; Full time

Benefits offered by this job

Medical, dental, vision

Flexible paid time off

Parental leave

Retirement plan

Job summary

NScale seeks a Director of AI Load Power Strategy to guide power design for AI/GPU load profiles across its data center portfolio. You will translate growth scenarios into capacity requirements and lead a team of Staff Engineers delivering load power strategies.

Join a team focused on reliability, cost efficiency, and scalable infrastructure to support AI deployments with innovative power solutions.

Qualifications

• Bachelor's degree in Electrical Engineering or a related field.
• 8-12+ years of experience in power systems engineering, with exposure to high-density or data center loads.
• Strong technical understanding of load profiles, power quality, and system studies.
• Demonstrated success leading or mentoring engineering teams.

Responsibilities

• 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 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.
• 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.

Skills

Power systems engineering

Team leadership

Load forecasting

Data center loads

Education

Bachelor's degree in Electrical Engineering

Master's degree in Electrical Engineering or Power Systems (preferred)

Tools

Power system studies

Job description

NScale seeks a Director of AI Load Power Strategy to guide power design for AI/GPU load profiles across its data center portfolio. You will translate growth scenarios into capacity requirements and lead a team of Staff Engineers delivering load power strategies.

Join a team focused on reliability, cost efficiency, and scalable infrastructure to support AI deployments with innovative power solutions.