VP, AI – Applications

🕒 May 12

🇺🇸 United States – Remote

💵 $230k - $290k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

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Utilidata

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚡ Energy

🔧 Hardware

💰 $26.8M Series B on 2022-02

Artificial Intelligence • Energy • Hardware

Utilidata is a company that specializes in integrating artificial intelligence into edge devices, specifically focusing on transforming the electric grid. Their Karman platform, which operates on custom NVIDIA Jetson Orin Nano hardware, is designed to enable AI computing at the edge, facilitating the real-time collection and use of data for improved decision-making in utilities. Utilidata collaborates with various partners to innovate the management of the electrical grid, aiming to make it more efficient, intelligent, and sustainable. They emphasize providing clean, affordable, and resilient energy solutions, leveraging distributed AI and partnerships with leading technology and utility companies.

📋 Description

• Lead and set technical direction for the team responsible for Karman's algorithms, control methods, optimization, and applied research • Drive technical co-development with strategic technology partners across hardware, firmware, and commercial tracks • Develop and manage release plans for algorithms and applications work • Partner with the VP, Engineering to ensure algorithms and control methods are designed for production deployment • Stay hands-on early in the role and scale toward leader-of-leaders as the team grows • Collaborate with the People Team to attract, onboard, and retain top talent in algorithms, applied AI, and control systems • Optimize resource allocation, budgeting, and timelines for team effectiveness • Develop and report on success metrics that measure the team's contribution to organizational objectives

🎯 Requirements

• 10-15+ years of professional experience leading teams that develop algorithms, control systems, optimization methods, or applied AI in production • Deep technical background in control theory, power systems, optimization, applied machine learning, or signal processing • Demonstrated experience in algorithms and decision-making paradigms with edge AI tools • Track record of developing leaders and growing the careers of senior engineers and researchers • Demonstrated ability to lead a senior, technically deep team while remaining hands-on • Experience translating research and prototypes into shipped products in a startup or fast-moving environment • Strong communication skills, including the ability to represent technical work credibly to executives, customers, and external technical organizations • Experience with intellectual property strategy and the patent process • Willingness to travel up to 20% of time

🏖️ Benefits

• Health insurance • Dental benefits • Vision benefits • Employer-match 401k • Flexible paid time off • Competitive compensation