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Waabi builds simulation and AI infrastructure for autonomous trucks, with a stack spanning PyTorch, CUDA, Kubernetes, and custom LIDAR/sensor pipelines. The company is heavily weighted toward engineering and research (45 of 57 mapped roles), now accelerating hiring—34 of 62 open positions posted in the last 30 days. Active projects center on simulator fidelity (world simulation, multi-sensor stacks, verification tooling) and safety validation (generative scenario modeling, behavioral requirement automation), revealing a company at the infrastructure-building stage before full fleet deployment.
Tech Stack 85 technologies
Core StackLever Python Go C++ Rust Docker MATLAB PyTorch Kubernetes Ansible TensorFlow TypeScript React AWS ISO 26262 CUDA C/C++ LIDAR PyTorch Profiler NVIDIA Nsight TensorRT Bazel GCP WebGL D3.js Three.js Vulkan DirectX OpenGL NSight+54 more
AdoptingCUDA
What Waabi Is Building
◆Challenges
- Streamlining behavioral requirement processes
- Launching fully driverless autonomous trucks
- Improving training stability
- Scaling evaluation pipelines
- Optimizing ml training efficiency
- Scaling recruitment for autonomous tech
- Optimizing real-time sensor data processing
- Building strong safety case
- Improving realistic simulator
- Improving simulator verification
▲Active Projects
- Waabi world simulator
- Automating behavioral requirement processes
- Ai research project for autonomous vehicle
- Next-generation simulation software
- Evaluation infrastructure tooling
- Generative scenario modeling for safety-critical testing
- Real-time signal processing pipeline for autonomous driving
- Improving simulator verification
- Multi-sensor simulation stack
- Unified self-driving platform
Hiring Activity
60 roles · 35 in 30d
Department
Seniority
Company intelligence
