Member of Technical Staff - Software

Architect Labs

Palo Alto (CA)

In loco

USD 180.000 - 280.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Competitive salary and equity
Autonomy with visible impact

Descrizione del lavoro

Architect Labs is building a core platform powering AI-driven chip design. You will own the full stack, architect scalable interfaces, and integrate cutting-edge AI features in collaboration with our ML team.

This foundational role involves designing the platform architecture, shipping features quickly, and enabling chip engineers to interact with intelligent agents across the system.

Competenze

  • BS/MS in Computer Science, Computer Engineering, Mathematics or related field.
  • Proficiency in TS, Python, and C++ with extensive full-stack experience.
  • Strong backend/frontend experience, designing RESTful APIs and working with relational or NoSQL databases.
  • Comfortable in Linux, using virtual environments, Docker, and Git; familiar with CI/CD using GitHub Actions or Jenkins.

Mansioni

  • Own the full stack and core platform powering AI-driven chip design.
  • Design architecture and build intuitive interfaces for chip engineers to interact with AI agents.
  • Ship features rapidly, iterate based on feedback, and define system architecture end-to-end.

Conoscenze

TypeScript
Python
C++
Full-stack development
API design

Formazione

BS/MS in Computer Science/Engineering or related field

Strumenti

Docker
Git
CI/CD (GitHub Actions/Jenkins)

Descrizione del lavoro

Architect is a frontier AI lab for custom silicon. We partner with frontier labs, clouds / neoclouds, physical AI companies, and advanced fabs to tape-out custom chips co-designed for next-generation AI workloads. Our goal is to compress end-to-end software to silicon timelines, and maximize intelligence per watt and per dollar for the world. We are a small exceptional team across silicon, systems, software and frontier AI. Our team have led research teams at nearly every frontier AI lab, and at some of the most complex SoCs in the world.

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
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