Architect

Architect

Member of Technical Staff - Software

Palo Alto · Staff+

Sponsorship not specifiedDetected 57 days ago
TypeScriptPythonC++Full-Stack DevelopmentGitNoSQLAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDGitHub ActionsJenkinsLinuxRESTMachine LearningResearchCollaboration

About the role

  • 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.
  • Expect to ship fast, iterate daily, and leave your fingerprints on every layer of a system redefining how hardware gets built.

Responsibilities

  • As well as experience developing AI coding agents.
  • Previous experience working at an AI startup, or building coding agent platform at AI coding assistant companies.
  • As Member of the Technical Staff - Software at Architect, you'll build the core platform that powers AI-driven chip design.
  • You'll own the full stack, developing intuitive, high-performance systems using TypeScript, Python, and modern frameworks, while integrating cutting-edge AI features and models in collaboration with our ML team.
  • This is a foundational engineering role where you'll design the architecture for the platform, and build seamless interfaces for chip engineers to interact with intelligent agents.
  • You'll shape the developer experience end-to-end-from indexing massive codebases to building scalable databases-and make critical technical decisions that define the product.

Requirements

  • Familiarity with frontend component libraries and state management patterns.
  • Finally, a proven track record of shipping features quickly and iterating fast based on feedback.
  • Core Skills: Proficiency in TypeScript, Python, & C++ and extensive full-stack experience.

Nice to have

  • Founding engineer or early hire at a high-growth startups, ex-Quant.

Skills

  • Proficiency in TypeScript, Python, & C++ and extensive full-stack experience.
  • Bonus:
  • Competitive programming experience, Recognition at IMO, IOI, IPho etc. or published research.
  • Exposure to cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes).
  • Demonstrated ability to learn new technologies and frameworks on the fly.
  • Competitive salary and equity
  • Fast-paced startup with autonomy and visible impact
  • Cutting-edge AI-driven chip design challenges

Compensation

  • Competitive salary and equity

Benefits

  • Education: BS/MS in Computer Science, Computer Engineering, Mathematics or a related field.
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This listing is sourced directly from Architect's careers page and normalized into a canonical job model.