Waabi
Robotics · Autonomous trucking
Robotics · Autonomous trucking
Waabi currently has 37 active AI-related job listings. The hiring is distributed across several stages, with data roles representing 24% of the openings, followed by application, agents, and serving infrastructure, each at 16%. The dominant function is Engineering, with 26 roles, and hiring is occurring in both the United States and Canada. Frequent tech tags include model_serving, inference_infra, and evals, suggesting a focus on operationalizing AI models. Over the last 30 days, Waabi posted 1 new AI role, a decrease from the previous 30-day period.
Currently tracking 29 active AI roles, down 62% versus the prior 4 weeks. Primary focus: Data · Engineering. Salary range $122k–$296k (avg $203k).
Waabi currently has 34 active AI-related roles in our index. The most common open titles are: 2026 Intern, PhD Research Scientist, Applied Scientist, Distillation Lead, Lead Product Manager, Autonomy, Platform Systems Engineer; Sensing and Perception, Maps and Localization. Most positions are in Engineering and Research.
Waabi's active AI hiring is concentrated in: data (24%), agents (18%), serving infrastructure (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Waabi is hiring AI talent in: United States (33 roles), Canada (33 roles).
Job postings at Waabi most frequently mention: Machine Learning, Autonomous Driving, Computer Vision, Robotics, Simulation.
In the past 30 days, Waabi has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Research Engineer, Neural Rendering Research Engineer focused on creating next-generation multi-sensor rendering systems for autonomous driving using techniques like NeRF, 3D Gaussian Splatting, and diffusion models. The role involves building large-scale digital twins from real-world data and shipping production-quality simulation software. | ServeData | 9 |
| Senior / Staff ML Onboard Optimization Engineer This role focuses on optimizing and deploying machine learning models for onboard compute systems in autonomous vehicles. It involves expanding the deployment pipeline, optimizing models using frameworks like TensorRT, and creating custom CUDA kernels for inference. The engineer will also profile model runtime and memory to identify performance bottlenecks. | Serve |
| 8 |
| Senior / Staff Software Engineer, High-Performance Onboard Algorithms Senior/Staff Software Engineer focused on optimizing real-time signal processing pipelines for autonomous driving, handling massive sensor data with low latency and high reliability on target hardware using parallel computing architectures (CPU, GPU, accelerators). | Serve | 7 |
| Senior / Staff Machine Learning Ops Engineer This role focuses on building and maintaining MLOps pipelines for machine learning models in the autonomous transportation domain. It involves automating training, testing, and deployment, as well as monitoring and optimizing pipeline performance for scalability and cost-effectiveness. The role requires strong Python, ML framework, cloud platform, and containerization skills. | Serve | 7 |