Overview
News
Technologies
Salaries
Products
People
Growth
Jobs
Financials
Overview
Physical Intelligence is a San Francisco research company founded in 2024 that is building general-purpose foundation models for robots. Its flagship models are trained on data from many robot embodiments and tasks, aiming for a single policy that can be adapted to new hardware and chores. The company raised very large early rounds from investors including OpenAI, Jeff Bezos and Thrive Capital.
News
A Steerable Model with Emergent Capabilities
Physical Intelligence is bringing general-purpose AI into the physical world.
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Report
Precise Manipulation with Efficient Online RL
We extract an RL Token from VLA models to enable fast online RL and improve throughput on precise tasks with few hours of data.
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Report
The Physical Intelligence Layer
Physical Intelligence is bringing general-purpose AI into the physical world.
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Report
Moravec's Paradox and the Robot Olympics
Physical Intelligence is bringing general-purpose AI into the physical world.
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Report
Emergence of Human to Robot Transfer in Vision-Language-Action Models
Exploring how transfer from human videos to robotic tasks emerges in robotic foundation models as they scale.
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Report
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Technologies
Tech DNA
Python
C++
Rust
PyTorch
Flink
Ray
ClickHouse
PostgreSQL
GCP
AWS
Google GKE
AI/ML
Python
C++
Kubernetes
Multimodal AI
GCP
JAX
PyTorch
TPU
eBPF
WebRTC
AWS
Google GKE
SLURM
ClickHouse
Computer Vision
Flink
Ray
Fine-tuning
Human-in-the-Loop
Bazel
CI/CD
GitHub Actions
Terraform
GitHub
PostgreSQL
LLM Guardrails
Other
Rust
TypeScript
JavaScript
Notion
Linear
Teleoperation
ROS
SLAM
SolidWorks
React.js
Least Privilege
Stack modernity
67/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
7 jobs
Required
Kubernetes
5 jobs
Required
Multimodal AI
3 jobs
Required
Notion
3 jobs
Required
Rust
3 jobs
Required
C++
3 jobs
Required
GCP
3 jobs
Required
Linear
2 jobs
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Stack changes
TPU
Sep 2026
SLURM
Sep 2026
PyTorch
Sep 2026
JAX
Sep 2026
Google GKE
Sep 2026
AWS
Sep 2026
Human-in-the-Loop
Aug 2026
GitHub
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
NVIDIA
Jobgether
Weekday
Clera
Zoox
Micron Technology
Growth
Hiring Momentum
60/100
Growing
Open positions
18
1 opened / 0 closed in 30 days
ATS activity
Every ~19 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
33% ▼
AI/ML
22% ▲
Product
22% ▼
QA
11% ▲
Robotics
11% ▲
Activity Timeline
Added Human-in-the-Loop to stack
Aug 2026
Added GitHub to stack
Aug 2026
Added Least Privilege to stack
Aug 2026
Added LLM Guardrails to stack
Aug 2026
Added SLAM to stack
Aug 2026
Added JavaScript to stack
Aug 2026
Added React.js to stack
Aug 2026
Added PostgreSQL to stack
Aug 2026
Added GCP to stack
Aug 2026
Added SolidWorks to stack
Aug 2026
Added TypeScript to stack
Aug 2026
Added Terraform to stack
Aug 2026
Jobs
≈ $167k – $364k per year (Estimated) • In office • Full-Time • San Francisco
ClickHouse
AI/ML
Flink
Multimodal AI
Ray
Apply
≈ $158k – $345k per year (Estimated) • In office • Full-Time • San Francisco
JAX
Multimodal AI
PyTorch
TPU
DevOps
AWS
GCP
Google GKE
Kubernetes
SLURM
Apply
≈ $174k – $314k per year (Estimated) • In office • Full-Time • 5+ years exp • San Francisco
Multimodal AI
Apply
≈ $148k – $303k per year (Estimated) • In office • Full-Time • San Francisco
Python
TypeScript
JavaScript
ClickHouse
PostgreSQL
AI/ML
Human-in-the-Loop
Frontend
React.js
DevOps
GCP
Kubernetes
Apply
≈ $130k – $244k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • San Francisco
Linear
Notion
Apply
≈ $105k – $212k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • San Francisco
Python
Computer Vision
DevOps
Kubernetes
Cybersecurity
Least Privilege
Apply
≈ $76k – $182k per year (Estimated) • In office • Full-Time • 2+ years exp • Associate's Degree • San Francisco
Apply
≈ $145k – $290k per year (Estimated) • In office • Full-Time • San Francisco
Apply
≈ $152k – $311k per year (Estimated) • In office • Full-Time • San Francisco
C++
Python
Rust
Fine-tuning
DevOps
eBPF
WebRTC
Robotics
Teleoperation
Apply
≈ $133k – $253k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • San Francisco
Python
ROS
Apply
≈ $97k – $225k per year (Estimated) • In office • Full-Time • San Francisco
C++
Python
Rust
TypeScript
Bazel
CI/CD
GitHub Actions
Kubernetes
Terraform
GitHub
Apply
≈ $73k – $175k per year (Estimated) • In office • Full-Time • 2+ years exp • Associate's Degree • San Francisco
SolidWorks
Apply
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