Blaize is building a hybrid AI platform engineered to support edge-to-cloud intelligence at scale-delivering efficient, scalable AI designed for complex, multimodal workloads across industries. We serve critical infrastructure sectors including smart city, defense, retail, manufacturing, healthcare, and automotive.
Our full-stack programmable processor architecture and low-code/no-code software platform enable real-time AI processing for high-performance computing at the network's edge and in the data center. Blaize solutions deliver actionable insights with low power consumption, high efficiency, minimal size, and low cost.
Headquartered in El Dorado Hills (CA), Blaize has over 200 employees worldwide, with teams in San Jose (CA) and Cary (NC), and subsidiaries in Hyderabad (India), Leeds and Kings Langley (UK), and Abu Dhabi (UAE).
To learn more, visit or follow us on LinkedIn at .
DESCRIPTION
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
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