Location: Hyderabad
We new-generation computing unleashing the potential of AI to enable leaps in the value technology delivers to improve the way we all work and live. We offer transformative edge computing solutions for AI data collection and processing at the edge of network, with a focus on smart vision applications including automobility, retail, security, industrial, and metro. We are funded by strategic and venture investors DENSO, Daimler, SPARX Group, Magna, Samsung Catalyst Fund, Temasek, GGV Capital, Wavemaker, and SGInnovate. With headquarters in El Dorado Hills (CA), We have
teams in Campbell (CA), Cary (NC), and subsidiaries in Hyderabad (India), Manila (Philippines), and Leeds and Kings Langley (UK), with 300+ employees worldwide.
Roles and Responsibilities
We work on complex high performance, fully programmable, low power design of Graph Streaming Processor, an architecture specially designed for machine learning/visual applications. As a member of our focused group of HW engineering, the candidate will be involved in designing a stream processor and memory subsystem working on every aspect of hardware design and will be involved in close interactions with both SDK and backend teams for performance tuning, area, and power optimizations of multi million gate design.
EDUCATION AND EXPERIENCE
REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES
ADDITIONAL SKILLS:
Contact: Uday Bhaskar
Mulya Technologies
"Mining the Knowledge Community"
Email id : muday_bhaskar@yahoo.com