ML Hardware Architect

Responsibilities1. Contribute to architectural innovations for ML silicon products.2. Create and maintain qualitative and quantitative evaluation methodologies for power, performance and cost of prospective silicon products.3. Collaborate with microarchitectural design, verification, physical design, hardware systems design engineers to understand the constrains and trade-offs.4. Collaborate with system and ML application software engineers to optimize across the hardware/software boundary.Requirements1. MS or PhD degree with a focus on computer architecture, or equivalent years of experience.2. Deep understanding of processor microarchitecture.3. Experience with SystemC, Python, C/C++, and performance simulation frameworks.4. Strong communication skills.Preferred qualifications1. Familiarity with deep learning models, particularly transformer architectures and their workload characteristics.2. Knowledge of the RISC-V instruction set architecture.3. Proven track record of silicon tape-outs with in-house processor core designs or in-house accelerator designs in industry or academia.4. Knowledge of ML trends and experience in outreaching to ML researchers and application developers.

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