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 |
|---|---|---|
| Research Engineer, World Models Research Engineer focused on developing and productionizing large-scale world models for autonomous transportation, including video, multimodal, LLM/VLM/VLA, and predictive models. The role involves designing, implementing, and scaling generative and predictive systems, optimizing training and inference, building data pipelines, and ensuring code quality, with a focus on robotics applications. | Post-trainServe | 9 |
| Research Scientist, World Models Research Scientist role focused on developing and productionizing large-scale world models for temporal reasoning and generation in the context of autonomous transportation. This involves research in video generation, multimodal foundation models, LLM/VLM/VLA methods, and generative scenario modeling, with a strong emphasis on publishing research and integrating models into training pipelines. |
| Post-trainAgent |
| 9 |
| Research Scientist, Neural Reconstruction Research Scientist focused on developing next-generation neural scene-representation and reconstruction algorithms for autonomous transportation, transforming sensor data into digital worlds. This role involves fundamental and applied research in 3D/4D neural reconstruction, dynamic scene reconstruction, and multi-sensor learning, directly powering simulation and rendering systems. | Data | 9 |
| Research Scientist, Simulation Agents Research Scientist focused on developing simulation agents and scenario generation algorithms for autonomous transportation, advancing state-of-the-art in ML/RL, and publishing research. The role involves shipping solutions into production and contributing to the scientific safety case. | DataAgent | 9 |
| Research Internship/Co-op Research internship/co-op role focused on developing new AI algorithms for autonomous vehicles, covering areas like perception, prediction, and motion planning. The role involves implementing, training, and optimizing algorithms, with encouragement to publish research externally and contribute to open source projects. | Data | 9 |
| 2026 Intern, PhD Research Scientist Research Scientist intern role focused on developing novel AI algorithms for autonomous vehicles, pushing the frontiers of the field, and publishing research at top conferences. Requires a PhD in a relevant technical field and a publication record. | Pretrain | 9 |
| Research Scientist, Learnable Planner Research Scientist focused on developing deep learning-based motion planning for autonomous trucks, leveraging and advancing state-of-the-art robotics and ML techniques, including imitation and reinforcement learning, planning, perception, prediction, simulation, and foundation models. The role involves contributing to a scalable planning solution and a high-fidelity simulator, with a requirement to publish research externally and support deployment to production systems. | AgentPost-train | 9 |
| Research Scientist Research Scientist role focused on inventing new AI technologies for autonomous transportation, specifically for fully driverless trucks. The role involves pushing the frontiers of AI research in areas like perception, motion forecasting, controls, and simulation, leveraging the latest advances in transformers, foundational models, LLMs/VLMs, and reinforcement learning. Collaboration with platform teams for production deployment and publishing research externally are key aspects. | Pretrain | 9 |
| Research Engineer Research Engineer role focused on advancing and deploying AI algorithms for self-driving vehicles, bridging research insights with production systems and ensuring high-quality code. The role involves working with large datasets and simulations, collaborating with multidisciplinary teams on perception, forecasting, planning, and simulation, and contributing to publications. Experience in applied research and turning research ideas into practical solutions is required. | ShipServe | 8 |