Member of Technical Staff - Software
Architect · Palo Alto, CA · 1 mo ago
EngineeringFull-time
About the role
Member of the Technical Staff - Software at Architect is responsible for building the core platform that powers AI-driven chip design. The role involves owning 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 the ML team.
Responsibilities
- Design and develop the architecture for the platform
- Build seamless interfaces for chip engineers to interact with intelligent agents
- Shape the developer experience end-to-end—from indexing massive codebases to building scalable databases
- Make critical technical decisions that define the product
- Ship fast, iterate daily, and leave your fingerprints on every layer of a system redefining how hardware gets built
Requirements
- Education: BS/MS in Computer Science, Computer Engineering, Mathematics or a related field.
- Core Skills: Proficiency in TypeScript, Python, & C++ and extensive full-stack experience.
- Technical Experience: Strong full-stack / backend experience, designing RESTful APIs, working with relational or NoSQL databases. Familiarity with frontend component libraries and state management patterns. As well as experience developing AI coding agents. Finally, a proven track record of shipping features quickly and iterating fast based on feedback.
- Systems Knowledge: Comfortable in Linux environments, using virtual environments, Docker, and version control (Git). Experience setting up or maintaining CI/CD (GitHub Actions, Jenkins, etc.).
Qualifications
- Previous experience working at an AI startup, or building coding agent platform at AI coding assistant companies.
- Founding engineer or early hire at a high-growth startups, ex-Quant.
- Demonstrated ability to learn new technologies and frameworks on the fly.
Bonus
- Competitive programming experience, Recognition at IMO, IOI, IPho etc. or published research.
- Exposure to cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes).
What We Offer
Competitive salary and equity
Fast-paced startup with autonomy and visible impact
Cutting-edge AI-driven chip design challenges