Edge Impulse is the platform for developing intelligent devices using embedded machine learning (TinyML).

Analytics

Software

Edge Impulse

The San Diego office focuses on vibrant event marketing strategies to enhance brand engagement in the dynamic California market.

San Diego

Edge Impulse's headquarters in San Jose, CA, United States

RJ (Robert Jan) Vissers

Adam Benzion

Alessandro Grande

Jodie Lane

Ninna Nuppulinna

Linda Watkins

Jan Jongboom

Sergi Mansilla

Louis Moreau

Maggi Yang

Alexis Susset

Tyler Hrycak

Amir Sherman

Sally Atkinson

Patrick Ruster

Christine Bertsch

Jame Ervin

Natalie Mullin

Mike Senese

The Engineering team at Edge Impulse is responsible for developing and refining the core technologies that power the platform, including TinyML solutions. They work on creating and optimizing embedded machine learning models, designing user interfaces, providing technical solutions and support, and ensuring reliable and efficient system integration for intelligent devices. This multidisciplinary team contributes expertise across software engineering, machine learning, embedded systems, and user experience design to deliver innovative and robust solutions to customers.

Engineering

This department focuses on building and managing relationships with industry experts to enhance knowledge sharing and collaboration.

Expert Network

This department focuses on developing and implementing technical solutions to meet customer needs and enhance product functionality.

Solutions Engineering

The Sales Team at Edge Impulse is responsible for driving revenue growth by identifying and securing new business opportunities, building and maintaining relationships with clients, and promoting the adoption of Edge Impulse's TinyML platform. This includes overseeing global sales strategies, managing enterprise accounts, conducting market research, and optimizing sales processes to ensure customer success and business expansion.

Sales Team

This department focuses on the development and implementation of machine learning models and algorithms to drive data-driven decision-making.

Machine Learning Engineering

This department focuses on designing and implementing innovative architecture solutions to enhance customer experiences and operational efficiency.

Edge Impulse

Org chart

Teams

Engineering

Expert Network

Solutions Engineering

Sales Team

Machine Learning Engineering

Solutions Architecture

Offices

Edge Impulse

Org chart

Teams

Engineering

Expert Network

Solutions Engineering

Sales Team

Machine Learning Engineering

Solutions Architecture

Offices

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