Physical Intelligence
pi.website
Actively hiring
Foundation Models
AI Research Labs
Robotics AI
View 19 jobs
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Team
501-1000
employees, estimated range
Hiring now
38
+9 posted in 30 days
Backers
12
General Catalyst, 137 Ventures
Momentum
9/100
hiring for its size
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Oct 15
First executive search General Manager, Research Operations
Apr 22, 2025
On the Hacker News front page π0.5: A VLA with open-world generalization · 177 points
2024
Founded
Tractionpublic signals, read monthly
Web presence
top 0.33%
of 133.2M domains by links, Common Crawl
Hacker News stories
13
best: 177 points
Backed byfrom the funds' portfolios and accelerator catalogs
General Catalyst 
137 Ventures 
Abstract 
Accel 
G Squared 
Index Ventures 
Khosla Ventures 
Lux Capital 
NEA 
Redpoint Ventures 
Sequoia Capital Investors in similar startupsfunds that back the companies most like this one
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How Physical Intelligence hires
Truth index
A 89/100
Median time to fill
55 days
Ghost roles
0%
Stale roles
44%
Reposted roles
0%
Physical Intelligence scores A on the Alion truth index (A is best, E worst), measured over 27 open roles re-checked against its own hiring board: 0% look like ghost listings, 44% have gone stale and 0% are the same role posted again. Its roles close in a median of 55 days. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Overview
Physical Intelligence is a robotics research company building general-purpose foundation models and learning algorithms for robots. Its models are trained on data from many robot embodiments and tasks, and its job ads cover machine learning infrastructure, robot interfaces, mechatronics and operations. The company is headquartered in San Francisco, California, United States.
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
A VLA that Learns from Experience
Physical Intelligence is bringing general-purpose AI into the physical world.
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Report
Real-Time Action Chunking with Large Models
A real-time system for large VLAs that maintains precision and speed in the face of high latency.
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Report
A VLA with Open-World Generalization
Physical Intelligence is bringing general-purpose AI into the physical world.
Read more
Report
Teaching Robots to Listen and Think Harder
A method for robots to think through complex tasks step by step, incorporating human-in-the-loop feedback.
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Report
Open Sourcing π0
Physical Intelligence is bringing general-purpose AI into the physical world.
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Report
Show more news
Tech stack
Technologies named in job postings at Physical Intelligence over the last 12 months, by layer, with the share of postings for each.
Technologies in use
49
Postings analysed
37
Stack modernity
78/100AI adopter
Languages
Python65%
C++24%
TypeScript24%
Rust16%
Frameworks & libraries
JAX5%
PyTorch5%
Flink5%
Ray5%
Databases
ClickHouse19%
PostgreSQL19%
Cloud & platforms
Kubernetes38%
GCP27%
Linux16%
AWS8%
AI & ML
LLM8%
ChatGPT3%
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Full Physical Intelligence tech stack
49 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
61/100
Growing
Open positions
38
5 opened / 4 closed in 30 days
Median time-to-fill
51 days
faster than 27% of the market
ATS activity
Every ~4 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.
AI/ML
15% ▲
Backend
15% ▲
HR
13% ▲
Industrial Engineering
13% ▼
Field & Service
11% ▼
Administrative
9% ▲
Actively hiring for AI/ML (+3 in 30 days)
Activity Timeline
Added Vision-Language-Action to stack
Oct 2026
Added Platform Engineering to stack
Oct 2026
Added Machine Learning to stack
Sep 2026
Added Linux to stack
Sep 2026
Added MATLAB to stack
Sep 2026
Added WebSockets to stack
Sep 2026
Added Rest API to stack
Sep 2026
Added gRPC to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
1
Busiest office
San Francisco
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Headquarters
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Office with open vacancies
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San Francisco
United States
HQ
36 open roles 44 posted in 90 days 50% engineering 500-1000 est. staff $50k Avg Salary
hires for AI/ML, Robotics, HR
808 Brannan St San Francisco CA
Fremont
United States
2 open roles 2 posted in 90 days 10-50 est. staff
hires for Field & Service, Industrial Engineering
Jobs
≈ $156k – $294k per year (Estimated) • In office • Full-Time • 4+ years exp • San Francisco
Vision-Language-Action
DevOps
Terraform
GCP
AWS
Kubernetes
Platform Engineering
Apply
≈ $161k – $353k per year (Estimated) • In office • Full-Time • San Francisco
Python
TypeScript
PostgreSQL
ClickHouse
AI/ML
Fine-tuning
LLM
Machine Learning
DevOps
GCP
WebSockets
Kubernetes
Apply
≈ $148k – $312k per year (Estimated) • In office • Full-Time • San Francisco
Python
TypeScript
PostgreSQL
DevOps
Rest API
gRPC
GCP
WebRTC
WebSockets
Kubernetes
Robotics
Teleoperation
Apply
≈ $120k – $271k per year (Estimated) • In office • Full-Time • Bachelor's Degree • San Francisco
Python
C++
Bash
Linux
Apply
≈ $153k – $323k per year (Estimated) • In office • Full-Time • San Francisco
Python
TypeScript
PostgreSQL
ClickHouse
AI/ML
AI Agents
LLM
DevOps
GCP
Kubernetes
Apply
≈ $165k – $361k per year (Estimated) • In office • Full-Time • San Francisco
ClickHouse
AI/ML
Multimodal AI
Flink
Ray
Machine Learning
Apply
≈ $165k – $361k per year (Estimated) • In office • Full-Time • San Francisco
JAX
Multimodal AI
PyTorch
TPU
DevOps
GCP
SLURM
AWS
Kubernetes
Google GKE
Apply
≈ $170k – $311k per year (Estimated) • In office • Full-Time • 5+ years exp • San Francisco
Multimodal AI
Apply
≈ $132k – $260k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • San Francisco
Linear
Notion
Apply
≈ $145k – $291k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • San Francisco
Python
Computer Vision
DevOps
Kubernetes
Linux
Cybersecurity
Least Privilege
Apply
≈ $99k – $217k per year (Estimated) • In office • Full-Time • 2+ years exp • Bachelor's Degree • San Francisco
Python
SLI/SLO/SLA
Design
SolidWorks
Fusion 360
Apply
≈ $153k – $323k per year (Estimated) • In office • Full-Time • San Francisco
Python
Rust
C++
Fine-tuning
DevOps
WebRTC
eBPF
Robotics
Teleoperation
Apply