Intern– AI-Driven Control & Intelligence

Vertiv • Delaware, OH

3d

About The Position

The internship focuses on accelerating next-generation AI-driven control and intelligence development for advanced multi-phase power supply units (PSUs), including six-phase Vienna rectifier architectures for AI rack and data center applications. The intern will support AI/ML-based control development, coordinated multi-phase control strategies, adaptive mode switching, phase reconfiguration, modeling, and Model-in-Loop (MIL) validation activities. The role also includes contributing to invention disclosures, experimental datasets, and data-backed intellectual property generation supporting Vertiv’s H3 innovation roadmap.

We are seeking a highly motivated summer intern to support advanced R&D activities in intelligent and AI-enabled control systems for next-generation AI infrastructure. The intern will work closely with research engineers to develop and validate control strategies for multi-phase Vienna rectifier-based PSU architectures targeting high-efficiency, scalable, and fault-tolerant AI rack systems.

The internship will emphasize AI-assisted control development, adaptive operational optimization, coordinated multi-phase control, and system-level modeling for advanced PSU architectures. The candidate will support simulation, Model-in-Loop (MIL) validation, data analysis, and prototype-oriented algorithm evaluation aimed at accelerating H3-to-H2 technology transition and strengthening the innovation and patent pipeline.

Requirements

• Pursuing MS or PhD in: Electrical Engineering Mechanical Engineering Control Systems Computer Engineering Mechatronics Related engineering discipline
• Familiarity with simulation/modeling tools such as: MATLAB/Simulink
• Basic programming experience in: Python MATLAB C/C++
• Strong analytical, problem-solving, and technical communication skills.

Nice To Haves

• Experience with: AI/ML control development Digital control implementation AI/ML-based control techniques Reinforcement learning or adaptive control
• Exposure to: Model-in-Loop (MIL) Hardware-in-Loop (HIL) Digital twin concepts AI infrastructure or data center power systems
• Interest in advanced R&D, innovation, and patent generation activities.
• Prior research publications or hands-on laboratory experience in power electronics or intelligent control systems is a plus.

Responsibilities

• Support development of AI/ML-based control algorithms for advanced multi-phase PSU architectures and six-phase Vienna rectifier systems.
• Assist in development and validation of: Multi-phase coordinated control strategies Adaptive mode switching methods Dynamic phase reconfiguration techniques Load-aware intelligent power management algorithms
• Develop simulation models and reduced-order models.
• Perform Model-in-Loop (MIL) validation and controller performance evaluation.
• Analyze transient, steady-state, efficiency, thermal, and fault-response behavior of advanced PSU systems.
• Generate and organize experimental/simulation datasets for AI-driven control training and validation.
• Support prototype-oriented feasibility studies and design validation activities.
• Collaborate with cross-functional R&D teams working on H3 innovation initiatives for AI infrastructure and next-generation technologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern