SiMa.ai Announces New Design Centre In Bengaluru

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  • SiMa.ai’s engineering team in India will report to Gopal Hegde, senior vice president, Engineering and Operations
  • The embedded edge market is ripe for disruption and machine learning has moved from nice to have to must-have said Krishna Rangasayee, founder and CEO of SiMa.ai

SiMa.ai has announced a new design center in Bengaluru, India. It said that the investment will accelerate the company’s engineering and operations team, opening up new in-region job opportunities for board development, operations, infrastructure, and system application roles.

Krishna Rangasayee, founder and CEO of SiMa.ai, said, “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.”

Innovative ML platform

SiMa.ai’s engineering team in India will report to Gopal Hegde, senior vice president, Engineering and Operations. He said that Bengaluru has a talent pool of highly qualified and experienced engineers and the expansion into the region is a strategic move as the company grows its engineering organisation. He added, “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.” Vuruputoor, previously started, built, and scaled India development centers for On Semiconductor and Aptina and held senior engineering leader positions at Nvidia, AMD, and Analog Devices.

Mitra will drive the software development strategy at SiMa.ai. Previously, he was at Mercedes Benz India, where he was instrumental in establishing Centers of Excellence (CoE) for data engineering and leading teams of computer vision and high-definition mapping for highly automated driving.

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