Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Funding and backers

Backers
2
Innovation Endeavors, Scribble Ventures
Momentum
0/100
no fresh signals
Last sign of life
this month
a posting or a news item
Tractionpublic signals, read monthly
Web presence
top 7%
of 133.2M domains by links, Common Crawl
Backed byfrom the funds' portfolios and accelerator catalogs
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Overview

Veeda AI builds multimodal foundation world models: scalable simulations of physical reality where embodied agents learn through interaction.

Technologies

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Tech DNA
Python
C++
Go
PyTorch
Ray
CUDA
Gaussian Splatting
LLM
AI/ML
Python
C++
Embodied AI
Multimodal AI
Physical AI
World Models
Machine Learning
PyTorch
Ray
CUDA
CUDA Toolkit
Synthetic Data
Knowledge Distillation
Model Distillation
Reinforcement Learning
Tokenization
Megatron-LM
Triton
DeepSpeed
NCCL
NVLink
CI/CD
SLURM
Kubernetes
Computer Vision
Post-training
Flyte
LLM Evaluation
Gaussian Splatting
Gymnasium
LLM
NeRF
CUTLASS
JAX
Quantization
ROCm
TPU
XLA
InfiniBand
PyTorch C++
Argo Workflows
Ansible
Docker
GitLab
GitLab CI
Grafana
Helm
HPC
Linux
OpenTelemetry
Prometheus
Terraform
Robotics
Rust
Reinforcement Learning
Isaac Lab
MuJoCo
Isaac Sim
Imitation Learning
Teleoperation
Other
Go
Bash
Java
Blender
Houdini
NVIDIA PhysX
PoC Library
Stack modernity Modern AI adopter
69/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Multimodal AI 8 jobs Required
World Models 8 jobs Required
Physical AI 8 jobs Required
Embodied AI 8 jobs Required
Python 7 jobs Required
PyTorch 5 jobs Required
Machine Learning 5 jobs Required
Ray 3 jobs Required
Salary medians are calculated from this company's open jobs and compared with the market.
Stack changes
Terraform Sep 2026
Prometheus Sep 2026
PoC Library Sep 2026
OpenTelemetry Sep 2026
Linux Sep 2026
InfiniBand Sep 2026
HPC Sep 2026
Helm Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.

Growth

Hiring Momentum
58/100
Growing
Open positions
8
0 opened / 0 closed in 30 days
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
88% ▲
Early Careers
13% ▲
Actively hiring for AI/ML (+4 in 30 days)
Activity Timeline
Added Terraform to stack Sep 2026
Added Prometheus to stack Sep 2026
Added PoC Library to stack Sep 2026
Added OpenTelemetry to stack Sep 2026
Added Linux to stack Sep 2026
Added InfiniBand to stack Sep 2026
Added HPC to stack Sep 2026
Added Helm to stack Sep 2026
Added Grafana to stack Sep 2026
Added GitLab CI to stack Sep 2026
Added GitLab to stack Sep 2026
Added Docker to stack Sep 2026

Offices

Where the company hires and what each office is for
Cities
3
Hiring now
3
Countries
3
Busiest office
Zurich
Loading the map
Headquarters Builds here Office with open vacancies Tap a pin for the office
Zurich Switzerland
Engineering / R&D
8 open roles 8 posted in 90 days 88% engineering
hires for AI/ML, Early Careers
seen since Aug 2026 job postings
Toronto Canada
Engineering / R&D
8 open roles 8 posted in 90 days 88% engineering
hires for AI/ML, Early Careers
seen since Aug 2026
Seattle United States
Engineering / R&D
7 open roles 7 posted in 90 days 86% engineering
hires for AI/ML, Early Careers
seen since Aug 2026

Jobs

≈ $151k – $312k per year (Estimated) • Hybrid • Full-Time • Master's Degree • Toronto • Zurich • Seattle
Python
Multimodal AI
Computer Vision
PyTorch
Synthetic Data
World Models
Physical AI
Embodied AI
Machine Learning
Apply
≈ $156k – $323k per year (Estimated) • Hybrid • Full-Time • PhD • Toronto • Zurich • Seattle
Reinforcement Learning
Multimodal AI
Knowledge Distillation
PyTorch
Tokenization
Post-training
World Models
Physical AI
Embodied AI
Model Distillation
Machine Learning
Robotics
Reinforcement Learning
Apply
≈ $150k – $311k per year (Estimated) • Hybrid • Full-Time • PhD • Toronto • Zurich • Seattle
Python
Reinforcement Learning
Multimodal AI
PyTorch
World Models
Physical AI
Embodied AI
Machine Learning
Robotics
Teleoperation
Imitation Learning
Reinforcement Learning
Apply
≈ $146k – $302k per year (Estimated) • Hybrid • Full-Time • Bachelor's Degree • Toronto • Zurich • Seattle
Python
Go
Java
Rust
Multimodal AI
Ray
Flyte
LLM Evaluation
World Models
Physical AI
Embodied AI
DevOps
SLURM
CI/CD
Kubernetes
Argo Workflows
Apply
≈ $148k – $306k per year (Estimated) • Hybrid • Full-Time • Bachelor's Degree • Toronto • Zurich
Python
C++
CUDA Toolkit
Multimodal AI
LLM
Synthetic Data
Gymnasium
Gaussian Splatting
CUDA
NeRF
World Models
Physical AI
Embodied AI
Game Dev
NVIDIA PhysX
Houdini
Robotics
Isaac Sim
MuJoCo
Isaac Lab
Design
Blender
Apply
≈ $152k – $313k per year (Estimated) • Hybrid • Full-Time • Bachelor's Degree • Toronto • Zurich • Seattle
Python
C++
PyTorch C++
AI/ML
DeepSpeed
CUDA Toolkit
Quantization
JAX
Multimodal AI
Knowledge Distillation
PyTorch
Tokenization
CUDA
Triton
Megatron-LM
TPU
NCCL
NVLink
ROCm
XLA
CUTLASS
World Models
Physical AI
Embodied AI
Model Distillation
Machine Learning
Apply
≈ $145k – $300k per year (Estimated) • Hybrid • Full-Time • Bachelor's Degree • Toronto • Zurich • Seattle
Python
Bash
DeepSpeed
Multimodal AI
PyTorch
Ray
NCCL
InfiniBand
NVLink
World Models
Physical AI
Embodied AI
DevOps
Terraform
Ansible
Helm
OpenTelemetry
Prometheus
GitLab CI
SLURM
CI/CD
Docker
Kubernetes
Grafana
GitLab
HPC
Linux
Chips/EDA
PoC Library
Apply