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As a Senior Deep Learning Compiler Engineer, you will optimize neural networks and develop algorithms for Quadric’s architecture, focusing on performance enhancement through advanced mathematical and algorithmic techniques.

Drive customer evaluations to design wins for Quadric's Chimera GPNPU by porting and optimizing workloads, writing custom kernels, profiling and tuning performance, embedding with customer teams, and codifying reusable SDK skills and playbooks to accelerate future engagements.

Lead SoC RTL design and integration across the full chip lifecycle: define SoC architecture, own subsystem development, integrate third-party IP (NoC, PCIe/UCIe, DDR, security), drive PPA optimization and timing closure, apply low-power techniques, package customer releases, and debug complex SW/HW interactions to deliver tapeout-ready designs.

The AI Kernel Engineer will develop and optimize AI kernels for Quadric's platform, enhancing performance across various hardware configurations and providing technical support.