Architect · 1 month ago
Member of Technical Staff - Software
Architect Labs is an AI research and product lab for chip design, aiming to reimagine chip design using AI. The role involves building the core developer platform for AI-driven chip design and requires full-stack development skills to create high-performance systems and integrate AI features.
Computer Software
Responsibilities
Build the core developer platform that powers AI-driven chip design
Own the full stack—developing intuitive, high-performance systems using TypeScript, Python, and modern frameworks
Integrate cutting-edge AI features and models in collaboration with our ML team
Design the architecture for the platform
Optimize local deployments
Build seamless interfaces for chip engineers to interact with intelligent design 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
Leave your fingerprints on every layer of a system redefining how hardware gets built
Qualification
Required
Education: BS/MS in Computer Science, Software Engineering, Mathematics or a related field
Proficiency in TypeScript, Python, Javascript, and extensive full-stack experience
Comfort with at least one of these framework (e.g. Next.js, React.js or modern front-end frameworks)
Strong personal full stack projects in GitHub
Strong full-stack experience, designing APIs, working with relational or NoSQL databases
Familiarity with frontend component libraries and state management patterns
Proven track record of shipping features quickly and iterating fast based on feedback
Comfortable in Linux environments, using virtual environments, Docker, and version control (Git)
Experience setting up or maintaining CI/CD (GitHub Actions, Jenkins, etc.)
Preferred
Previous experience working with IDE like VS Code, Jet Brains, Extensions or dev tool/ coding agents 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
Benefits
Competitive salary and equity
Fast-paced startup with autonomy and visible impact
Frontier AI problem with a chance to build first-of-its-kind product
Company
Architect
An AI research & product lab reimagining chip design.
Funding
Current Stage
Early StageCompany data provided by crunchbase