Fullstack Software Engineer

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🏢 ОфисMiddleПолная занятость

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Наша компания

Fullstack builds the internal software the rest of Pi runs on. Our users span the path from research intent to physical execution: researchers designing experiments and requesting data, Research Ops working across feasibility, task design, environments, prototyping, and instructions, and Production Ops running data collection, evals, and deployments across our lab, warehouse, and real-world deployments. Annotation sits at the front of that chain, determining what our models learn from the data we collect, and this is where this role will start.

Чем предстоит заниматься

Own annotation tooling: Build the platform and workflows for annotation generation, from the interfaces annotators work in to the pipelines behind them, and translate requirements from researchers into an actionable plan and the software to execute it

Make annotation legible: Build the systems that track quality, cost, throughput, and coverage so researchers can see what they are getting and decide what to change

Own researcher request and planning workflows: Redesign how researchers and prototypers turn ambiguous research needs into executable work, and create the software layer for understanding capacity and making tradeoffs across competing priorities

Build research and ops-facing tooling: Dataset browsing, eval dashboards, and the throughput, quality, and progress tracking Production Ops needs across our lab, warehouse, and real-world sites

Act as your own PM: Gather requirements, prioritize work, define success metrics, write specs, ship tools, drive adoption, and iterate based on feedback

Ship production-quality software: Build reliable frontend interfaces, backend APIs, data models, dashboards, and cloud services. You should be comfortable shipping and supporting production-grade services

Наши требования

Former founder, early employee, or other demonstration of comfort with ambiguity and solving hard problems end to end

Experience building data labeling platforms, human-in-the-loop tools, or other data-centric AI systems

Experience building internal tools specifically for research, robotics, or operationally-intensive problems

Experience with tasking systems, instruction management, scheduling, resource allocation, or workflow orchestration

Experience with our specific stack: React, TypeScript, Python, Postgres, ClickHouse, GCP, and Kubernetes

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records

Strong full stack engineering experience building production web applications and APIs, especially with React, TypeScript, and Python

Experience with relational databases (we use Postgres), analytical systems (ClickHouse), and queueing systems

Familiarity with cloud and containerized environments such as GCP and Kubernetes

Comfort designing workflows where people, models, and software have to function as one system

Strong product judgment and attention to detail

Experience working directly with users, iterating from feedback, and navigating ambiguous workflows and evolving requirements

Ability to start with a practical v0 and build toward scalable, production-quality systems

Physical Intelligence

San Francisco

ГрейдMiddle

ЗанятостьПолная занятость

РегионНе Россия

ФорматОфис

ИсточникСкрыто

Опубликовано21 авг.

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