Co-founder and Digital Twins Engineer

Company Description

Kraftgene AI Inc., a Canadian startup, is revolutionizing the energy sector with its innovative platform, EnergyEminence—a Unified Critical Infrastructure Operating System. By integrating advanced high-fidelity digital twins, predictive AI, and autonomous robotics, we provide real-time solutions for energy resilience and environmental monitoring, bridging digital insights and physical actions. Leveraging Graph Neural Networks and Physics-Informed Learning, our technology ensures optimized grid and pipeline management, offering precise and rapid system responses to complex challenges like climate threats. As an AWS Clean Energy Accelerator portfolio company supported by global innovation leaders, Kraftgene AI is scaling its research and engineering capacity to drive the future of energy infrastructure. Visit us at www.kraftgeneai.ca to learn more.

Role Description

The Co-founder and Digital Twins Engineer will play a pivotal role in the development and deployment of high-fidelity digital twin technologies and the architecture of modular AI systems for energy infrastructure applications. Responsibilities include designing and implementing digital twin models for industrial systems, performing advanced research, and contributing to the commercialization of the EnergyEminence platform. This is a part-time hybrid role based in Toronto, ON, with opportunities for remote work as agreed upon. Collaboration in technical, strategic, and operational aspects of the organization is also expected.

Qualifications

* Strong Analytical Skills and Research abilities to design, develop, and optimize digital twin systems.

* Effective Communication skills to convey technical insights and collaborate with cross-functional teams.

* Experience in Sales and Marketing strategies to assist in commercialization and business growth.

* Entrepreneurial mindset with the ability to navigate challenges in a fast-paced startup environment.

* Technical expertise in Graph Neural Networks, Physics-Informed Learning, and AI systems design is highly desirable.

* Experience with energy infrastructure, robotics, or critical infrastructure systems is a plus.

* Advanced degree in Electrical Engineering, Computer Science, or related field preferred.