SiMa.ai™ is the company enabling high performance machine learning to go green. Led by a team of industry experts, the company is committed to delivering the highest frames per second per watt solution in the market to its customers – accelerating the proliferation of high performance machine learning inference at very low power in embedded edge applications.

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Software

SiMa.ai

SiMa.ai's headquarters in San Jose, CA, United States

Krishna Rangasayee

Gopal Hegde

Azfar Hasib

Harald Kroeger

Myla Gregorio

Durga Peddireddy

Alvin K. Wong

Lip-Bu Tan

Moshe Gavrielov

Jake Flomenberg

Daniel Docter

Mike Dauber

This department focuses on the design, development, and maintenance of software applications and systems.

Application Engineering

The Engineering Team at SiMa.ai is dedicated to innovating and developing high-performance, low-power machine learning solutions for embedded edge applications. Comprised of experts in fields such as hardware design, software engineering, verification, and machine learning, the team works collaboratively to deliver industry-leading frames per second per watt performance, enabling energy-efficient machine learning deployment. They are responsible for the design, development, testing, and implementation of cutting-edge technologies that drive the company's green AI initiatives.

Engineering Team

This department focuses on the development and implementation of artificial intelligence and machine learning solutions.

AI and Machine Learning

This department focuses on the design, development, and validation of hardware components and systems.

Hardware Engineering

This department focuses on the research, design, and testing of new products and embedded systems.

Product Development

This department focuses on the development and maintenance of technical systems and infrastructure.

SiMa.ai

Org chart

Board & advisors

Teams

Application Engineering

Engineering Team

AI and Machine Learning

Hardware Engineering

Product Development

Technical Operations

Offices

SiMa.ai

Org chart

Board & advisors

Teams

Application Engineering

Engineering Team

AI and Machine Learning

Hardware Engineering

Product Development

Technical Operations

Offices

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