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Physical Intelligence

Develops AI-driven robotic systems for industry

Lead Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Strong programming skills in Python, Go, or similar languages, including reviewing unfamiliar code and shipping maintainable software.
  • A track record of partnering with engineering teams to solve problems from discovery through rollout.
  • Experience operating and securing cloud infrastructure, including Linux, identity and access management, networking, containers, or continuous integration and continuous delivery.
  • Connections in the security community and curiosity about emerging threats and techniques.
  • Hands-on offensive security experience and sound judgment about real-world risk.

Responsibilities

  • Build and operate systems that protect models, data, and compute.
  • Partner with researchers and engineers on architecture and development workflows.
  • Automate access management, infrastructure safeguards, and software delivery checks.
  • Write production-quality tools and contribute fixes directly to engineering repositories.
  • Find and exploit vulnerabilities, assess their impact, and validate fixes with system owners.
  • Set security priorities and bring in outside expertise where needed.

Desired Qualifications

  • Experience securing artificial intelligence or machine learning infrastructure or agent execution environments.
  • Experience building detection systems or helping establish a security function.
  • Excitement about robotics and a desire to learn.

About the Company

Physical Intelligence

Develops AI-driven robotic systems for industry

Physical Intelligence develops AI-powered robotic systems by creating general-purpose AI models and learning algorithms to control physically actuated devices in the real world, serving industries like manufacturing, healthcare, and logistics. Its approach uses foundational models and learning-based control software that runs on robots to sense, decide, and act in real environments, often integrated with hardware and partner networks. The company differentiates itself by focusing on foundational AI methods for physical robotics and partnering with high-profile investors to support both R&D and commercialization across multiple industries. Its goal is to bring AI-driven robotic systems into real-world operations to boost efficiency and productivity through scalable, learnable robotics.

Company size
201-500
Company stage
Late Stage VC
Total funding
$2.1B
Headquarters
San Francisco, CA
Founded
2024

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