Physical Intelligence · San Francisco
Typical security engineer pay at startups: $206K median, middle half $179K–$251K (201 posted ranges).
Across all startups we track: $170K–$242K for engineering roles (8,046 listed ranges).
Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.
You will work alongside the researchers and engineers bringing general-purpose AI into the physical world. We value pragmatism, initiative, and people who enjoy solving problems together. You will have the autonomy to identify what matters most and see improvements through.
You will secure the models, data, infrastructure, and compute that power Physical Intelligence. This is a hands-on role for someone who likes digging into systems and building reliable tools that help researchers and engineers work securely at speed. You will prioritize the biggest risks and build practical protections that keep pace with how we work.
Build and operate systems that protect our 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.
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, IAM, networking, containers, or CI/CD.
Connections in the security community and curiosity about emerging threats and techniques.
Hands-on offensive security experience and sound judgment about real-world risk.
Experience securing AI/ML infrastructure or agent execution environments.
Experience building detection systems or helping establish a security function.
Excitement about robotics and a desire to learn.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
From Physical Intelligence's careers page. First seen Oct 24, 2026, last verified Oct 25, 2026.
Open roles: 45, up 10 (+29%) over the last 30 days.