About Architect
Architect is a frontier AI lab for chip design. We build AI models and tools for on-demand custom ASICs at scale. Our goal is to co-design custom ASICs alongside evolving ML workloads, and enable a new era of domain-specific chips that unlock capabilities impossible with current hardware paradigms. 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.
What You’ll Do
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. Expect to ship fast, iterate daily, and leave your fingerprints on every layer of a system redefining how hardware gets built.
What We’d Like to See
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.)
Bonus:
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.
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.
What We Offer
Competitive salary and equity
Fast-paced startup with autonomy and visible impact
Cutting-edge AI-driven chip design challenges
