About P-1 AI:
We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.
Our founding team includes the top minds in model-based engineering, deep learning, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries. We invite you to join our team of the world’s best engineers and AI researchers, building AI’s most impactful use case.
About the Role:
In this role, you’ll be responsible for the software, databases, and pipelines by which we collect, combine, manage, and transform the engineering and synthetic data that is used at training- and run-time by Archie. Working within a small, tightly-knit team of high-performers, you’ll be principally responsible for clearly defining, implementing, and validating this infrastructure, incorporating needs from our data curator, industry partners, and AI team.
This role is remote and you can be based anywhere in the US or Canada, where you must have existing work authorization. You will be expected to travel to our San Francisco office for co-working sessions approximately one week out of every six. If you are already located in the SF Bay Area or are interested in relocation, you are of course welcome to work out of our SF office.
Responsibilities:
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Implement and run the software system for collecting, combining, transforming, and managing our engineering and synthetic data.
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Work with our data curator, data collection/creation team, industry experts, and AI team to design and implement critical capabilities.
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Create and integrate UI tools for our data collection team.
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Ensure high quality and traceability in our datasets.
Skills:
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Python programming and the structuring of complex modules.
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Data infrastructure configuration and management for complex and high-quality data.
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Experience with multiple types of data storage systems (e.g.: SQL, document, object).
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Experience with data processing orchestration platforms (e.g.: Dagster, Prefect).
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Use of AI/ML as part of automation for collecting, fusing, and assessing quality of complex data.
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Creating utility UIs for data collectors(Replit-style approaches are great too).
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Modern software development tools and practices (Git, CI/CD, etc.).
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Ability to thrive in a fast-paced, dynamic startup environment.
Interview Process:
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Initial screening - with Head of Talent (30 mins)
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Hiring manager interview - with co-founder & Head of Engineering (45 mins)
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Programming interview - with member of technical staff & Head of Engineering (60 mins)
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Culture fit / Q&A - with co-founder & CEO (45 mins)
