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ASIC Architect

Etched · San Jose

CHECKED 7H AGO

Infrastructureonsitesenior$200k–$265k
Apply on the lab’s site ↗

At a glance

Highlights

  • Design next-gen AI accelerators optimized for inference throughput and latency
  • Optimize compute architectures for exceptional performance and power efficiency
  • Co-design chips, racks, and software for frontier intelligence hardware

What they offer

  • Medical, dental, and vision packages with generous premium coverage
  • $500 per month credit for waiving medical benefits
  • $2.5k per month housing subsidy for those living within walking distance of the office
  • Relocation support for moving to San Jose (Santana Row)
  • Wellness benefits covering fitness, mental health, and more
  • Daily lunch + dinner in office
  • Unlimited compute budget subject to ROI justification

Ideal candidate

Computer architect with deep curiosity for AI inference who thrives in-person collaborating across hardware and software to push performance and efficiency from concept to silicon.

Requirements

  • PhD in Computer Science, Electrical Engineering, Computer Engineering, or related field
  • 5+ years of experience in computer architecture, ASIC design, or related fields
  • Strong understanding of computer architecture fundamentals including pipelines, memory hierarchies, and interconnects
  • Experience with performance modeling and architectural simulation tools
  • Hands-on experience designing and optimizing floating-point datapaths or arithmetic-intensive circuits
  • Proficiency in Rust, C/C++, or Python for modeling and analysis
  • Knowledge of modern processor microarchitecture and design tradeoffs
remote policy
on-site only

Lab profile

About Etched

Building specialized AI chips and systems for frontier inference with best-in-class throughput and latency.

What they build

  • Sohu AI inference chip
  • AI racks and hardware systems
  • Inference software stack

Known for

  • Full-stack co-design of chips, racks, software and manufacturing
  • Best-in-class throughput and latency for prefill and decode
  • Inference-optimized architecture

Key facts

  • Backed by hundreds of millions from top-tier investors
More about Etched →
Apply on the lab’s site ↗