Fullstack Software Engineer

Physical Intelligence
San Francisco
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Product judgment","Attention to detail","Collaboration","Iteration","Systems thinking"]

Build internal full-stack products that help research and operations teams turn physical experimentation workflows into reliable software. Own annotation tooling from interfaces through pipelines, improve quality/cost/throughput visibility, and redesign researcher request and planning systems. Deliver production-quality frontends, backend APIs, data models, dashboards, and cloud services while working closely with researchers, prototypers, and operators. Start from a practical v0 and iterate toward scalable systems.

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FursaFursa
Physical Intelligence
Physical Intelligence
2 days ago

Fullstack Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build internal full-stack products that help research and operations teams turn physical experimentation workflows into reliable software. Own annotation tooling from interfaces through pipelines, improve quality/cost/throughput visibility, and redesign researcher request and planning systems. Deliver production-quality frontends, backend APIs, data models, dashboards, and cloud services while working closely with researchers, prototypers, and operators. Start from a practical v0 and iterate toward scalable systems.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Own annotation tooling: build platform and workflows for annotation generation from annotator interfaces to backend pipelines.
  • •Track and improve annotation quality, cost, throughput, and coverage so researchers can understand and adjust their outputs.
  • •Redesign researcher request and planning workflows, translating ambiguous needs into executable work and capacity tradeoffs.
  • •Build research and ops-facing tooling such as dataset browsing, eval dashboards, and throughput/quality/progress tracking.
  • •Act as a PM for your work: gather requirements, define success metrics, write specs, ship tools, drive adoption, and iterate based on feedback.

Key Requirements

  • •Strong full stack engineering experience building production web applications and APIs (especially React, TypeScript, and Python).
  • •Experience with relational databases (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 function as one system.
  • •Experience working with users to iterate from feedback and navigate ambiguous workflows with evolving requirements.
Experience:SaaSWeb applicationsAPIs
Skills:Product judgmentAttention to detailCollaborationIterationSystems thinking
Tech Stack:ReactTypeScriptPythonPostgresClickHouseGCPKubernetes

Company Brief

Physical Intelligence
Develops large-scale AI models and learning algorithms to enable general-purpose intelligence for robots and physically-actuated devices, aiming to power a wide range of real-world robotic tasks and applications.
Industry: Robotics
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2024
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn