The research team identifies data movement bottlenecks in AI systems and addresses them through new memory and storage SoC architectures, proving concepts on FPGA with real AI workloads. The Principal Engineer defines SoC block architecture and microarchitecture, analyzes AI workloads such as LLM inference, and develops and evaluates hardware architectures to improve memory, storage, and network data movement. The role involves designing and debugging high-speed interfaces and data paths, validating prototypes through simulation and lab testing, integrating prototypes with host software and infrastructure, and assessing performance, power, and cost trade-offs. The engineer leads research from problem definition through publications, patents, and conference presentations. This position requires daily onsite presence at the Folsom office/headquarters.
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Job Type
Full-time
Career Level
Principal