Member of Technical Staff - Software

Overview

Architect is an AI research and product lab for chip design. We build AI models and systems that can explore, design, optimize, and verify new hardware. Our goal is to reimagine chip design using AI, cut down ASIC design time and cost, and enable a new era of ultra‑efficient, domain‑specific chips powering the future of computation.

As a Founding Member of the Technical Staff (Software) at Architect, you’ll build the core developer 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, optimize local deployments, and build seamless interfaces for chip engineers to interact with intelligent design 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, Software Engineering, Mathematics or a related field.
• Core
  
  Skills:
  
  Comfort with at least one of these frameworks (e.g., Next.js, React.js, or modern front‑end frameworks); strong personal full‑stack projects on Git Hub.
• Technical
  
  Experience:
  
  Strong full‑stack experience, designing APIs, working with relational or No
  
  SQL databases; familiarity with front‑end 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 (Git Hub Actions, Jenkins, etc.).
• Bonus: Previous experience working with IDEs 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 startup, ex‑Quant; competitive programming experience, recognition at IMO, IOI, 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.
• Frontier AI problem with a chance to build first‑of‑its‑kind product.

Mountain View, CA – $–$ (approx.)