10 часов назад
Senior Microarchitect (AI)
300 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Microarchitect (AI): Designing AI accelerator execution pipelines, datapaths, memory hierarchies, and RTL for high-performance inference hardware with an accent on modern numeric formats, compute efficiency, and SoC constraints. Focus on leading RTL implementation, analyzing AI workloads, closing timing, and tuning performance from emulation through post-silicon operation.
Location: Santa Clara County, CA; San Francisco, CA; Houston, TX; Mountain View, CA; Santa Clara, CA; San Francisco Bay Area; Berkeley, CA; Munich, Bavaria, Germany; or Remote (U.S.)
Salary: $300,000–$350,000
Company
is partnered with a well-funded, venture-backed startup developing AI infrastructure and chip-level systems for more efficient inference workloads.
What you will do
- Design execution pipelines, scheduling and control logic for AI compute hardware.
- Define datapaths, register files, scratchpads and local memory hierarchies.
- Implement support for FP16, BF16, FP8 and FP4 numeric formats.
- Optimize compute throughput, utilization, power, area and memory bandwidth within SoC constraints.
- Collaborate with architecture, compiler, kernel and performance teams to evaluate AI workloads, ISA and programming-model trade-offs.
- Lead RTL implementation and support verification, timing closure, emulation, debug, bring-up and post-silicon performance tuning.
Requirements
- Strong background in AI compute or accelerator design, including complex multi-block units across multiple generations of process technology.
- Deep understanding of matrix and vector pipelines, floating-point numerics, quantization and performance-per-watt optimization.
- Experience delivering real silicon.
- Master’s degree or PhD and 5+ years of experience.
- For remote work, candidates must be based in the U.S.
Nice to have
- Experience with startup or early-stage silicon programs.
Culture & Benefits
- Opportunity to take substantial ownership in building new AI infrastructure from the ground up.
- Work on chip- and system-level technology targeting major improvements in inference performance and efficiency.
- Collaboration across architecture, compiler, kernel, performance, verification and silicon teams.
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