AI Accelerator Silicon Architect

Strong background in computer architecture, especially AI accelerators, GPUs, TPUs, vector processors, SIMD, VLIW, or other parallel compute architectures.

Experience translating workloads into hardware architecture.

Solid microarchitecture fundamentals.

First-principles understanding of latency, throughput, utilization, and scalability.

Familiarity with numeric formats, quantization, rounding, and precision/performance tradeoffs.

Familiarity with performance-optimization techniques in large-scale transformer models is a plus.

The US base salary for this full-time position is determined based on a variety of factors including role, experience, location, job related skills, and relevant education and training. Career length is only a guideline for compensation.

Early Career - $120,000 - $275,000 + equity

Mid Career - $175,000 - $450,000 + equity

Senior Career - $275,000 - $600,000 + equity

A Stake in our success

Define the architecture for MatX’s AI compute subsystem, including ISA, connectivity, memories, and control..

Derive architectural requirements from AI use cases.

Conduct analytical and empirical performance analysis.

Collaborate closely with Research, SW, and HW teams to ensure we architect just-right silicon for workloads, programmability, and PPA.

Support test plan reviews, first-silicon bring-up, and post-silicon debug.