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.
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).
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 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 |
| Senior / Staff Perception Engineer Senior/Staff Perception Engineer at Waabi, a Physical AI company focused on autonomous transportation. The role involves prototyping, evaluating, and deploying perception algorithms (3D detection, tracking, semantic understanding) for self-driving vehicles, leveraging deep learning and computer vision. It requires shipping ML models to production and collaborating with platform teams for integration. The role also emphasizes engineering excellence, code quality, and staying updated with AI/ML advancements. |
| AgentServe |
| 9 |
| Research Engineer, Learnable Planner (Integration) Research Engineer role focused on integrating ML models into the production planning stack for autonomous trucks, developing simulation pipelines, and improving planner architecture. Requires MS/PhD in a related field and experience with ML-based planning techniques, deep learning frameworks, and programming languages like Python, Rust, C++, or CUDA. Bonus for production deployment experience and model iteration. | AgentPost-train | 8 |
| Platform Systems Engineer; Sensing and Perception, Maps and Localization This role is for a Platform Systems Engineer focused on Sensing, Perception, Maps, and Localization for autonomous vehicles. The engineer will drive technical execution, architect requirements, own contract definitions, lead cross-functional integration, validate via data, advance simulation, build the safety case, and mentor junior engineers. The role requires experience in autonomous vehicles or robotics, strong domain expertise in sensing, perception, and localization, and knowledge of systems engineering and V&V best practices. Experience with AI/ML integration and advanced safety standards is a bonus. | AgentData | 7 |
| Senior / Staff Software Engineer, Simulation Platform The role involves contributing to and improving a state-of-the-art self-driving simulator (Waabi World) that uses generative AI. Key responsibilities include enhancing scalability and performance, designing and implementing orchestration software for simulation subcomponents (autonomy system, actor models, sensor simulation), and collaborating with researchers and engineers. The goal is to accelerate autonomous vehicle development by providing a realistic environment for training and evaluation. | AgentEval Gate | 7 |
| Senior / Staff Software Engineer, Motion Planning Senior/Staff Software Engineer role focused on designing and developing motion planning software and algorithms for autonomous vehicles, acting as the 'brain' for decision-making in complex traffic scenarios. The role involves an AI-first approach within a multidisciplinary team of Engineers and Research Scientists to build a reliable autonomy stack. | Agent | 7 |