Waabi
Robotics · Autonomous trucking
Currently tracking 29 active AI roles, down 62% versus the prior 4 weeks. Primary focus: Data · Engineering. Salary range $122k–$296k (avg $203k).
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.
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 |
|---|---|---|
| Senior / Staff Applied Scientist The role focuses on designing and building scalable production frameworks for evaluating autonomous driving systems, measuring the performance and reliability of the evaluation infrastructure, and developing analytical models to correlate simulation with real-world driving outcomes. It sits at the intersection of Evaluation, Systems & Safety, and Autonomy teams. | Eval GateAgent | 8 |
| Applied Scientist The Applied Scientist will focus on developing and maintaining cross-modal dashboards for analyzing the performance of the autonomous driving system. This role involves collaborating with various teams to ensure a unified and trustworthy view of system performance, shaping eval tooling, and investigating anomalies in metrics. The goal is to provide actionable insights for decision-making across simulation, track, and public road testing. | Eval Gate |
| 7 |
| Software Engineer, Evaluation Infrastructure Software Engineer focused on building evaluation infrastructure and tooling for an autonomous driving system. This involves developing pipelines, implementing metrics, and creating query services for analyzing driving performance data from real-world and simulated sources, leveraging generative AI in the simulation engine. | Eval GateData | 7 |
| Safety Engineer, Collision Risk This role focuses on developing and implementing safety framework methods for autonomous trucking, using simulation, real-world data, and generative AI. The engineer will define requirements for automated assessment workflows, develop quantitative metrics, optimize test coverage, and ensure traceability between requirements and safety claims. The role involves collaboration with autonomy and algorithms teams to ensure the safety and readiness of the autonomous system. | Eval GateAgent | 7 |