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Designs AI-native hardware architectures and RTL implementations for high-performance, energy-efficient AI chips, focusing on chip modules, simulation, and optimization for power, timing, and area.
FuriosaAI is seeking a Senior Solution Architect to bridge the gap between technical teams and customers by designing AI inference architectures and optimizing pipelines on their proprietary NPU hardware. The role involves conducting PoCs, performing performance benchmarks, and providing technical support to ensure successful deployment of AI applications.
Design and deploy AI/LLM models on FuriosaAI’s RNGD NPU using the Furiosa SDK, running POCs, benchmarks, and debugging for US customers while translating technical capabilities into business value.
About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea…
Solution Architect for APAC at FuriosaAI, an AI chip maker: architects end-to-end enterprise/cloud AI solutions around the company's AI accelerators and server LLM deployments, leads pre-sales engagements and PoCs, and mentors a team of solution architects. Key tech: GPGPUs, AI accelerators, LLM serving, MLPerf/vLLM benchmarking, data center and distributed systems.
Responsibilities Develop and maintain ROM code and early system initialization software Port and customize Arm Trusted Firmware (TF-A / TF-M) Implement system trust primitives such as Secure Boot , firmware update, and…
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