Actively hiring
Robotic Software & Control Systems
Robotics AI
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$562M
2 rounds on record
Latest round
$198.2M
Venture round · Aug 2026 · 2 mo ago
Team
25
US Form 5500 (plan participants) · Dec 2025
Hiring now
20
+1 posted in 30 days
Backers
9
8VC, Radical Ventures
The money's age
Fresh money
2 months since the last round · and hiring
Momentum
37/100
hiring for its size, in the news, fresh money
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
Aug 7
Raised a round Venture round $198.2M · SEC Form D
May 29
Raised a round Venture round $363.8M · SEC Form D
2024
Founded
Tractionpublic signals, read monthly
Web presence
top 5%
of 133.2M domains by links, Common Crawl
Hacker News stories
15
best: 65 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | Aug 2026 | $198.2M | — | SEC Form D |
| Venture round | May 2026 | $363.8M | — | SEC Form D |
Registers and programsofficial lists and records that name the company
| Legal entity | Generalist AI, Inc. | SEC Form D |
Founders and leadersfrom filings, registers and the company's site
Andy ZengExecutive Officer, DirectorSEC Form D
Andrew BarryExecutive Officer, DirectorSEC Form D
Peter FlorenceExecutive Officer, DirectorSEC Form D
Backed byfrom the funds' portfolios and accelerator catalogs
Investors in similar startupsfunds that back the companies most like this one
Similar startupsby what they do, their industry and backers

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How Generalist AI hires
Truth index
A 88/100
Ghost roles
0%
Stale roles
47%
Reposted roles
0%
Generalist AI scores A on the Alion truth index (A is best, E worst), measured over 19 open roles re-checked against its own hiring board: 0% look like ghost listings, 47% have gone stale and 0% are the same role posted again. 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
Generalist AI is a robotics foundation model laboratory building general purpose manipulation systems that transfer across tasks and hardware. Its research combines large scale robot data collection with learned policies, aiming at the dexterity needed for everyday physical work rather than narrow industrial automation. The company was founded by researchers from leading robot learning groups and develops both the models and the data collection stack; its founders previously led embodied intelligence research at major industrial laboratories.
News
Generalist AI: A General-Purpose AI Foundation That Demonstrated Scaling Laws in Physical AI生成AI事例集
In the field of Physical AI, there is a startup attempting to transplant the "success patterns of LLMs" directly into the physical world. This is Generalist AI, which is developing general-purpose AI foundation models for robots. "We are dead set on makin
Read more
Report
Towards Machines with a Thousand Hands
Why create robot intelligence for just one hand, when we could have it learn from many? Our latest model GEN-1 now supports a broad range of end effectors, showing how a single model can transfer across radically different ways of interacting with the phy
Read more
Report
GEN-1.5: Embodied Foundation Models are One-Shot Learners
GEN-1.5 can in-context learn a new task from as little as 3 to 12 seconds of demonstration data - or adapt with 1 to 10 gradient steps on minutes of data. These capabilities emerge from pretraining on large-scale physical experience.
Read more
Report
Going Beyond World Models & VLAs
Goals are more powerful than methods. We share our perspective on why GEN-1 is trained from scratch - and what lies beyond VLAs and world models.
Read more
Report
GEN-1: Scaling Embodied Foundation Models to Mastery
We've created GEN-1, our latest milestone in scaling robot learning - the first general-purpose AI model that crosses a new performance threshold: mastery of simple physical tasks.
Read more
Report
How good are generalist AI tools at identifying public figures in videos?
I tested seven of them. One came out on top.
Read more
Report
Learn, build, judge, ship: What to look for in your first (AI) marketer
I've worked with 100+ startups over the past 13 years and led growth and marketing at Pinecone from pre-seed to $1B+ valuation. These days, when I talk to founders about hiring the same conversation keeps coming up: they're not sure what to look for in th
Read more
Report
Tech stack
Technologies named in job postings at Generalist AI over the last 12 months, by layer, with the share of postings for each.
Technologies in use
42
Postings analysed
24
Stack modernity
85/100AI adopter
Languages
Python21%
C++8%
TypeScript8%
Rust4%
Frameworks & libraries
CUDA4%
FastAPI4%
NumPy4%
PyTorch4%
Databases
PostgreSQL4%
Cloud & platforms
OpenAI100%
Kubernetes13%
AWS8%
CUDA Toolkit4%
AI & ML
ChatGPT100%
GPT-4100%
Gemini100%
LLM4%
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Full Generalist AI tech stack
42 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$350k
Typical range
$100k – $350k
Open positions
9
2
Jobs
Senior
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 2 | $350k | $350k |
Highest paying role
Software Engineer: Product
$350k
Normalized to USD per year
All salaries at Generalist AI
By role, level and city, against the market · 9 jobs with pay
People

Andy Zeng
Executive Officer, Director

Andrew Barry
Executive Officer, Director

Peter Florence
Executive Officer, Director

Fraser Kelton
Director

Robert Toews
Director

Ellen Chisa
Director
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
44/100
Stable
Open positions
20
1 opened / 3 closed in 30 days
Median time-to-fill
171 days
faster than 9% 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.
Sales
36% ▲
HR
18% ▲
AI/ML
9% ▲
Frontend
9% ▲
Hardware
9% ▼
Legal
9% ▲
Offices
Where the company hires and what each office is for
Cities
3
Hiring now
2
Countries
1
Busiest office
San Francisco
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Headquarters
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Palo Alto
United States
HQ
San Francisco
United States
Regional office
17 open roles 9 posted in 90 days 59% engineering 500-1000 est. staff $306k Avg Salary
hires for AI/ML, Sales, Backend
181 2nd Ave
Boston
United States
Regional office
3 open roles 2 posted in 90 days 33% engineering 50-200 est. staff
hires for Sales, Science & Research, Industrial Engineering
212 Elm St
Jobs
≈ $141k – $314k per year (Estimated) • In office • Full-Time • San Francisco
JavaScript
TypeScript
ChatGPT
Multimodal AI
Gemini
OpenAI
GPT-4
Vision-Language-Action
Frontend
React.js
Apply
$240k – $350k per year • In office • Full-Time • San Francisco
ChatGPT
Fine-tuning
RLHF
Reinforcement Learning
Multimodal AI
Knowledge Distillation
Gemini
Synthetic Data
OpenAI
Post-training
GPT-4
Vision-Language-Action
Embodied AI
Model Distillation
Robotics
Imitation Learning
Reinforcement Learning
Apply
$200k – $350k per year • In office • Full-Time • 5+ years exp • San Francisco
Rust
C++
ChatGPT
Multimodal AI
Gemini
OpenAI
GPT-4
Vision-Language-Action
DevOps
Linux
Apply
$240k – $350k per year • In office • Full-Time • San Francisco
ChatGPT
Multimodal AI
Diffusion Models
PyTorch
Gemini
OpenAI
GPT-4
Vision-Language-Action
Apply
$200k – $350k per year • In office • Full-Time • 5+ years exp • PhD • San Francisco
Python
C++
ChatGPT
Multimodal AI
Gemini
OpenAI
GPT-4
Vision-Language-Action
Robotics
ROS
ROS2
Apply
$260k – $350k per year • In office • Full-Time • San Francisco
Python
ChatGPT
CUDA Toolkit
Multimodal AI
NumPy
Gemini
CUDA
OpenAI
NVLink
GPT-4
Vision-Language-Action
Apply
$260k – $350k per year • In office • Full-Time • San Francisco
ChatGPT
Multimodal AI
Gemini
OpenAI
GPT-4
Vision-Language-Action
DevOps
SLURM
Kubernetes
Apply
≈ $161k – $294k per year (Estimated) • In office • Full-Time • 5+ years exp • San Francisco
Python
ChatGPT
Multimodal AI
Gemini
OpenAI
GPT-4
Vision-Language-Action
DevOps
Terraform
AWS
Kubernetes
Apply
$200k – $350k per year • In office • Full-Time • San Francisco
Python
TypeScript
FastAPI
Databases
PostgreSQL
AI/ML
ChatGPT
Multimodal AI
Gemini
OpenAI
GPT-4
Vision-Language-Action
DevOps
AWS
Apply

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