Principal AI Engineer

Vertiv Corporation • Dover, OH • 21h ago

Job Description

POSITION SUMMARY

We are seeking a Principal AI Engineer (computer engineering or electrical engineering background) with a strong product-development foundation to lead AI initiatives that accelerate time-to-market, improve engineering efficiency, and enable AI-driven product capabilities. This role spans five product lines within the IT Rack Infrastructure domain and supports AI efforts across sustaining engineering, New Product Development and Introduction (NPDI), and forward-looking blue-sky research. The ideal candidate combines deep technical credibility in real-world product development with a creative, research-oriented mindset to explore breakthrough AI methods and technologies that can redefine both engineering processes and products.

RESPONSIBILITIES

Lead and explore AI-related research and emerging AI-technologies focused on IT Rack Infrastructure products (1PH UPS, rack-based power distribution units, KVM and Serial devices, mechanical racks).

Define the AI/ML architecture and technology roadmap for the IT Systems Business Unit.

Identify high-value AI use cases across single-phase UPS, rack PDU, KVM/Serial, racks, and integrated solutions.

Drive alignment of AI initiatives with product-line strategies and long-term business goals.

Lead feasibility studies, proto@types, and proof-of-concept developments.

Ensure AI/ML model's robustness, performance, explainability, and lifecycle management.

Lead AI initiatives for improving our NPDI process time-to-market and engineering efficiency.

Work with engineering leaders across product lines to define technological needs and feasibility.

Collaborate with embedded software and firmware teams to deploy models on constrained edge devices and real-time systems.

Define requirements for data acquisition, signal conditioning, and model inference hardware/software.

Establish practices for data collection, preprocessing, labeling, and governance.

Implement Machine Learning Operations (MLOps) frameworks for continuous integration, testing, versioning, and monitoring of AI models.

Develop proto@type methods, models, and simulations to validate new ideas and support technology feasibility studies.

Collaborate closely with cross-functional teams, including product development, engineering, and infrastructure teams, to ensure alignment of research objectives with overall company vision and market trends.

Publish technical papers, file patents, and present findings to internal stakeholders and external audiences, contributing to the organization's knowledge base and thought leadership.

Identify and collaborate with external research institutions, industry partners, and academic organizations to leverage additional expertise and insights.

Engage with standards bodies, and technology partners.

Mentor and guide junior engineers, fostering a culture of curiosity, creativity, and technical excellence within the team.

REQUIRED QUALIFICATIONS

Master's degree or PhD in Electrical Engineering, Computer Engineering, or related technical field.

10+ years of experience computer engineering or electrical engineering or advanced research in related fields.

5+ years of experience in AI/ML development, applied machine learning, embedded systems and advanced analytics.

Strong proficiency in:

Pytho

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