Founding Software Engineer

About Architect

Architect is building the intelligence layer for chip companies to bring the time to tapeout from 3 years to 6 months. Our AI amplifies hardware engineers across DI, DV, and PD workflows, helps build IP from the ground up, and keeps you in the loop at every step.

Founded out of Stanford, Architect is one of the fastest-moving Bay Area startups, blending frontier ML with deep chip design expertise to transform a trillion-dollar industry. Backed by top VCs and legendary angels, we’re assembling a world-class team of founding engineers and researchers to architect the next era of silicon.

• Build and optimize our full-stack developer platform for chip engineers using Type Script/JavaScript, Python, and modern frameworks.

• Integrate AI features in close collaboration with ML engineers and make key systems and architectural decisions.

• Architect core developer workflows, including agentic environments, user experience, and interface.

• Drive performance optimization for local deployment, indexing large codebases, and managing databases.

• Ship features rapidly and make meaningful contributions every other day.

• Education: BS/MS in Computer Science, Software Engineering, Mathematics, or a related field.

• Core
  
  Skills:
  
  Proficiency in Type Script, Python, and extensive full-stack experience.

• Frameworks: Comfort with at least one of the following—Next.js, Express, Django, or Rails.

• Technical
  
  Experience:
  
  

  • Strong full-stack experience designing RESTful APIs and working with relational or No
    
    SQL databases.

  • Familiarity with frontend component libraries and state management patterns.

  • Proven track record of shipping features quickly and iterating based on feedback.

• Systems Knowledge:

  • Comfortable in Linux environments and familiar with Docker and Git.

  • Experience setting up or maintaining CI/CD systems such as Git Hub Actions or Jenkins.

• Bonus:

  • Previous experience working with developer tools, IDE-focused companies, or high-growth startups.

  • Competitive programming experience, recognition at IMO/IOI/IPho, or published research.

  • Exposure to cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes).

  • Ability to learn new technologies and frameworks quickly.

• Competitive salary and equity.

• Fast-paced startup with autonomy and visible impact.

• Work on cutting-edge AI-driven chip design challenges.