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P-1 AI

AI agent automating cognitive engineering tasks

Super Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Ability to work across architecture, infrastructure, back-end, front-end, and related engineering areas.
  • Experience taking products or significant features from concept through production and explaining the engineering decisions made.
  • Public evidence of technical work through products, open-source contributions, personal projects, technical writing, or other artifacts.
  • Ability to work effectively in a fast-moving environment with high ownership, ambiguity, and rapid delivery expectations.

Responsibilities

  • Build the core product platform on which Archie is built and shipped to customers.
  • Develop end-to-end product features spanning architecture, back end, front end, and reliability as needed.
  • Develop and adopt best practices for using coding agents in the team's development workflow.
  • Work with forward-deployed engineers, AI researchers, fellow software engineers, and founders to rapidly prototype, test, and iterate on new product concepts.
  • Ship continuously, respond to customer feedback, and refine the product through rapid iteration.

About the Company

P-1 AI

AI agent automating cognitive engineering tasks

Archie is an AI agent that automates cognitive engineering tasks for engineering teams, interpreting design requirements, generating product concepts, performing initial design trade-offs, and selecting appropriate analysis tools, acting like a junior engineer that works before CAD or simulation software. It trains on large-scale physics-based synthetic design data that include supply chain information to support quantitative and spatial reasoning. The company targets industrial OEMs and large engineering departments, starting with data center cooling system design and expanding to industrial systems, automotive, heavy machinery, aerospace, and defense. The goal is to integrate Archie into every engineering team to boost productivity by handling repetitive design tasks and learning from real-world feedback to tackle increasingly complex challenges.

Company size
11-50
Company stage
Series A
Total funding
$73M
Headquarters
San Francisco, CA
Founded
2024

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