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XPU Architect

Volantis Semiconductor, Inc.Hybrid Remote/SF Bay Area/Austin/Boston🇺🇸United States

Why this role stands out

As an XPU Architect at Volantis Semiconductor, you'll drive innovative compute engine designs for cutting-edge AI systems, with significant opportunities for custom silicon development and career growth. This remote role is perfect for experienced ASIC architects with a deep understanding of AI workloads and silicon implementation, eager to shape the future of high-performance computing. Apply now to make a substantial impact in a dynamic, forward-thinking environment.

Quick overview

SeniorityMid Senior
Work modeRemote
LocationHybrid Remote/SF Bay Area/Austin/Boston, United States
LLM

Job description

What We’re Looking For:

We’re looking for an XPU Architect to own the XPU compute engine architecture of the A-0 and A-1 systems. This will initially involve heavily leveraging existing 3rd party IP, but in a creative way to solve the bandwidth demand challenges and memory system interface challenges. Future generations of the compute XPU will be semi-custom and custom designs.

Ideal Background:

An ideal candidate will have:

  • Previous experience architecting and owning a high performance, high TDP ASIC (eg AI chips, network switch chips, high performance CPUs or similar)
  • Knowledge of both computer architecture but also silicon implementation, and understanding of the realistic constraints that silicon implementation places upon architectural options
  • Deep understanding of AI workloads, especially low latency LLM inference
  • Understanding of workload and system level bottlenecks, especially around inference, as it pertains to interconnect, memory capacity, bandwidth, latency, etc.

Strongly Preferred:

  • Hands-on experience with AI chip architecture and tapeouts
  • End to end ownership of at least one AI ASIC project
  • History of product delivery (regardless of ultimate commercial success of said product)
  • Experience with HBM-based AI chip architecture
  • Experience in proposing “weird” chip architectures (in any domain, not just AI!)

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