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SiMa.ai expands engineering team with new design centre in Bengaluru

SiMa.ai expands engineering team with new design centre in Bengaluru
Photo Credit: 123RF.com
2 Feb, 2021

San Jose, California-based machine learning company SiMa.ai has announced that it has set up a design centre in Bengaluru.

The new site will bolster the company’s engineering and operations teams, a statement said. It is also expected to open up in-region job opportunities for board development, operations, infrastructure and system application roles.

SiMa Technologies, founded in 2018 by Krishna Rangasayee and Steve Rosston, claims to be a machine learning company that enables high performance compute at the lowest power.

“The embedded edge market is ripe for disruption and machine learning has moved from nice to have to must-have. Our vision is to build our customers an innovative ML platform that ultimately helps scale the widespread adoption across important embedded edge applications, such as robotics, medical, and autonomous vehicles. The expansion into India is pivotal as we prepare to deliver the industry’s first purpose-built machine learning SoC,” Rangasayee said.

SiMa.ai’s engineering team in India will report to Gopal Hegde, senior vice president for engineering and operations at the company.

“We go where outstanding engineers are located. Bengaluru has a talent pool of highly qualified and experienced engineers and our expansion into the region is a strategic move as we grow our engineering organisation. To this end, I’m excited to introduce our site leadership -- Sudershan Vuruputoor, head of hardware development, and Amit Kumar Mitra, head of software development,” Hegde said. 

SiMa.ai claims that its MLSoC platform environment enables the widespread adoption of machine learning at the embedded edge by supporting any model, neural network and framework for a workload. Any resolution and frame rate that comes through a sensor is compiled by the software and deployed on the purpose-built machine learning device, it said. 

The company has reportedly raised a total of $40 million so far, including a $30 million Series A funding round in May 2020.