Wafer Architect

Conductor

Austin, Boston, San Francisco (TX, MA, CA)

Hybrid

USD 180,000 - 260,000

Full time

14 days+
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Job summary

Conductor seeks an architect to own the logical architecture for the A-0 and A-1 wafer products. You will collaborate with the XPU/Compute chip architect and memory architect to synthesize the final wafer-level architecture.

The ideal candidate has deep hands-on experience in AI chip design (GPUs, TPUs, XPUs, ASICs) and strong knowledge of memory subsystems in multi-die configurations, with an emphasis on LLM inference workloads from software to hardware implications.

Qualifications

  • Deep understanding of AI chip design processes (GPUs, TPUs, XPUs, ASICs).
  • Knowledge of memory subsystems in multi-die systems.
  • Understanding of software aspects of LLM inference and its hardware implications.

Responsibilities

  • Own the logical architecture for A-0 and A-1 wafer products.
  • Collaborate with XPU/Compute chip architect and memory architect to synthesize wafer-level architecture.
  • Spearhead architectural partitioning and workload distribution across dies and chip packages.

Skills

AI chip architecture
Multi-die design
LLM inference workloads

Job description

We’re looking for an architect to own the logical architecture for the A-0 and A-1 wafer products. You will work with the XPU/Compute chip architect and the memory architect to synthesize the final wafer-level architecture.

Ideal Background:

An ideal candidate will have:

  • Deep understanding and hands-on experience in the design process of AI chips, such as GPUs, TPUs, XPUs, custom ASICs, etc
  • Understanding of memory sub-systems and interactions in multi-die systems
  • Understanding of LLM inference workloads, especially at a software level and its implications for hardware (system, package, network, die-level) systems

Strongly Preferred:

  • Experience with multi-die designs
  • Experience with MCM and chiplet based architectures and architectural partitioning across them
  • Experience in partitioning workloads across multiple chips and chip packages
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