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Staff Silicon Engineer

Cognichip Β· πŸ‡ΊπŸ‡Έ Redwood City Β· On-site

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About Cognichip

Backed by Lux.

About the role

Cognichip is hiring a Staff Silicon Engineer in πŸ‡ΊπŸ‡Έ Redwood City. The full description is on Cognichip's site.

What they're looking for

  • At Cognichip, we are building AI-native tools that transform how semiconductor engineers create, verify, and optimize chips
  • We are seeking a Staff Silicon Engineer who can combine strong software engineering, applied AI/ML, and semiconductor-domain understanding to build production-grade tools for chip design and verification
  • In this role, you will help turn advanced research ideas into practical workflows used by engineers designing real silicon
  • This work matters because chip design is becoming too complex for traditional workflows alone, and AI-native engineering systems can meaningfully change the speed, quality, and scale of semiconductor development
  • Bridge Hardware and Software: Translate deep semiconductor domain expertise into robust software requirements and implementations
  • Agentic Workflow Optimization: Fine-tune and optimize agentic workflow for domain-specific engineering tasks such as RTL generation, verification planning, and bug triage
More about this role

**Job Title**

Staff Silicon Engineer

**About Cognichip**

  • At Cognichip, we are building AI-native tools that transform how semiconductor engineers create, verify, and optimize chips.
  • Our platform combines large proprietary models, agentic workflows, domain-specific engineering intelligence, and high-performance simulation infrastructure to accelerate one of the world's most complex engineering disciplines.

**About the Role**

  • We are seeking a Staff Silicon Engineer who can combine strong software engineering, applied AI/ML, and semiconductor-domain understanding to build production-grade tools for chip design and verification.
  • In this role, you will help turn advanced research ideas into practical workflows used by engineers designing real silicon.
  • This work matters because chip design is becoming too complex for traditional workflows alone, and AI-native engineering systems can meaningfully change the speed, quality, and scale of semiconductor development.

**Key Responsibilities**

  • Bridge Hardware and Software: Translate deep semiconductor domain expertise into robust software requirements and implementations.
  • Develop Agentic Data Pipelines: Architect and implement...

Read the full posting on Cognichip's site β†—

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