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Software Engineer, AI Productivity

physicalintelligenceSan FranciscoSoftware Engineering
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Salary
Not listed
Job type
Full-time
Posted
11 Sept 2026
Status
Open · checked 7d ago

About this role

Based in San Francisco, the Software Engineer, AI Productivity role at Physical Intelligence involves building and scaling internal AI tools to accelerate operations and research. This position suits a skilled software engineer with strong technical flexibility and a focus on developer productivity and agent workflows.

Role Overview

Physical Intelligence seeks a Software Engineer, AI Productivity to join the Runtime team in San Francisco. The position centers on creating, deploying, and scaling internal AI systems, assistants, and automation tools. The selected candidate collaborates across engineering, research, operations, and people teams to integrate AI deeply into daily workflows.

Key Responsibilities

Identify productivity bottlenecks and deploy tailored AI solutions, agents, and workflows across the organization.
Develop backend services, scripts, user interfaces, LLM integrations, and agent infrastructure.
Build ergonomic cloud agent workflows, management systems, and internal automation platforms.
Create systems that assist engineers, researchers, and operations teams with coding, testing, debugging, and data processing.
Establish enablement practices including playbooks, onboarding materials, demos, and office hours.
Collaborate on security, data access, permissions, and policy compliance for AI integrations.
Evaluate commercial AI tools against custom builds to make strategic adoption recommendations.
Track adoption metrics, productivity outcomes, and user satisfaction to guide future investments.

Requirements

Strong software engineering background with a track record of shipping products quickly.
Hands-on experience with AI coding workflows and modern LLM-driven tools.
Technical versatility spanning backend services, internal tooling, automation, and user interfaces.
Product judgment focused on developer experience and internal tools.
Empathy and collaboration skills for working across diverse cross-functional teams.
Capability to master unfamiliar systems rapidly across various technical domains.
Sound judgment regarding security, data boundaries, and safe deployment.
Strong communication, documentation, and teaching abilities.

Nice to Have

Background in developing developer tools, autonomous agents, or automation platforms.
History of building internal tooling for research, robotics, or operationally complex environments.
Familiarity with the company technology stack including React, TypeScript, Python, Postgres, ClickHouse, GCP, and Kubernetes.

Skills and Tools

React
TypeScript
Python
Postgres
ClickHouse
GCP
Kubernetes
LLM integrations and agent infrastructure

About the Company

Physical Intelligence develops foundation models and learning algorithms intended to power current robots and future physically-actuated devices. The organization brings general-purpose AI into the physical world through a collaborative team of engineers, scientists, roboticists, and builders.

How to Apply

Interested candidates should visit the official Physical Intelligence careers page to submit an application.

Skills and tech stack

ReactTypeScriptPythonPostgresClickHouseGCPKubernetesLLM

Questions candidates ask

Where is the job located?

The position is located in San Francisco.

What team does this role sit in?

This role sits in the Runtime team, which manages core systems supporting the operations and research teams.

What technologies are part of the specific stack mentioned?

The mentioned stack includes React, TypeScript, Python, Postgres, ClickHouse, GCP, and Kubernetes.

What are the primary responsibilities of this role?

The role focuses on building internal AI tooling, deploying LLM integrations and agents, driving adoption across teams, ensuring secure data access, and measuring productivity impact.

Ready to apply?

The application is on the official physicalintelligence careers page.

Apply on company site