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Architect
Posted 13 hours ago

Member of Technical Staff - Applied AI

ArchitectMember of Technical Staff - Applied AI

Requirements

MS or PhD in EE, CE, or EECS, RTL design or Design Verification experience, Proficiency in Python or TypeScript, Understanding of chip design flow

Skills

PythonTypeScriptRTLAI

About the role

About the Company

Architect is a frontier AI lab for chip design. We build AI models and tools for on-demand custom ASICs at scale. Born out of Stanford Research, our team blends AI with Silicon with a founding team from Anthropic, Google DeepMind, Meta SuperIntelligence, xAI, Apple and Intel.

Responsibilities

  • Design and build AI agents that tackle core chip-design tasks, grounding model behavior in hardware engineering workflows
  • Own end-to-end agent workflows including scaffolding, tool use, evaluation harnesses, and domain-specific infrastructure
  • Serve as the hardware conscience of the model by curating high-quality data and defining evaluation criteria
  • Partner with ML research, post-training, and infra teams to turn hardware expertise into reward signals and benchmarks
  • Prototype and iterate quickly in a 0→1 environment to translate chip-design challenges into agent capabilities

Requirements

  • MS or PhD in Electrical Engineering, Computer Engineering, EECS, or a closely related field
  • Strong industry or research experience as an RTL design or Design Verification engineer
  • Solid understanding of the modern chip design flow end to end
  • Excellent software engineering fundamentals with proficiency in Python or TypeScript
  • Demonstrated ability to own ambiguous problems and prototype quickly

Preferred Qualifications

  • Prior experience on AI-for-chip-design or AI4EDA efforts
  • Experience building, using, or evaluating LLM-based tooling for engineering workflows
  • Publications or open-source contributions at the intersection of ML and EDA
  • Experience as an early engineer at a deeptech or AI startup

Benefits

  • Competitive salary and meaningful equity stake
  • Fast-paced startup with autonomy and visible impact
  • Cutting-edge AI-driven chip design challenges
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Member of Technical Staff - Applied AI

Architect · Palo Alto

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