Waabi Tech Stack

Physical AI platform for autonomous truck development and simulation

Truck Transportation Toronto 51–200 employees Founded 2021 Privately Held

Waabi builds simulation and autonomous vehicle software using a heavy systems-stack mix: C++, Rust, Python, PyTorch, and CUDA at the core, paired with hardware interfaces (LIDAR, GPS, CAN) and cloud orchestration (AWS, GCP, Azure). The engineering-first org (39 of 51–200 headcount) is scaling toward fully driverless operation, with active projects spanning a world simulator, multi-sensor simulation stacks, and safety verification—signaling maturity beyond perception toward closed-loop autonomous systems.

Tech Stack 66 technologies

Core StackPython Go C++ Rust Docker Linux Ansible Terraform AWS MATLAB Puppet Jira Solidworks PyTorch Apache Airflow TensorFlow Git CAN GCP Azure Altium OrCAD Chef ISO 26262 CUDA C/C++ GPS LIDAR Jax Google Workspace+35 more

AdoptingSlack Google Workspace

What Waabi Is Building

◆Challenges

Launching fully driverless autonomous trucks
Streamlining behavioral requirement processes
Risk mitigation
Scaling self-driving systems
Improving simulator verification
Identifying safety gaps
Performance bottlenecks
Reducing vehicle downtime
Defining evaluation criteria
Improving realistic simulator

▲Active Projects

Waabi world simulator
Automating behavioral requirement processes
Tools and frameworks for av development
Ai research project for autonomous vehicle
Developing simulation interfaces for planning models
Design secure boot and ota update mechanisms
Improving simulator verification
Multi-sensor simulation stack
Unified self-driving platform
Data annotation tool

Hiring Activity

Decelerating60 roles · 15 in 30d

Department

Engineering

Ops

Research

Finance

Legal

Product

Sales

Seniority

Senior

Mid

Intern

Lead

Director

Manager

Staff

Notable leadership hires: Lead Manager

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About Waabi

Waabi develops autonomous truck technology with a focus on simulation and behavioral modeling. Founded in 2021 and headquartered in Toronto, the company operates across Canada and the United States with a team skewed toward systems and ML engineers. The platform centers on a proprietary world simulator, tools for autonomous vehicle development, and data annotation infrastructure. Key challenges include launching fully driverless systems, streamlining safety requirement processes, identifying safety gaps, and reducing vehicle downtime—typical scaling pain points for autonomous vehicle startups moving from testing to deployment.

HeadquartersToronto

Company Size51–200 employees

Founded2021

Hiring MarketsCanada, United States

Frequently Asked Questions

What programming languages does Waabi use?

Waabi's core stack includes C++, Rust, Python, and Go, with GPU compute via CUDA and ML frameworks like PyTorch, TensorFlow, and JAX for autonomous vehicle perception and planning.

Is Waabi hiring engineers?

Yes. Engineering roles dominate active openings (39 of 59 total roles), with most positions at senior and mid levels. Hiring is active in Canada and the United States.

What is Waabi working on?

Core projects include a world simulator, multi-sensor simulation stacks, secure boot and OTA update mechanisms, AI research for autonomous vehicles, and tools for behavioral requirement automation and safety verification.