Member of Technical Staff - Software

Architect is a frontier AI lab for chip design. We build AI models and tools for on-demand custom ASICs  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 Deep Mind, Meta Super Intelligence, xAI, Apple and Intel.

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 Type Script, 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.

• Education: BS/MS in Computer Science, Computer Engineering, Mathematics or a related field.
• Technical
  
  Experience:
  
  Strong full‑stack / backend experience, designing RESTful APIs, 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 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 (Git Hub 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.

• Competitive salary and equity
• Fast‑paced startup with autonomy and visible impact