Waabi
Robotics · Autonomous trucking
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 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 |
|---|---|---|
| Distillation Lead Lead the strategy and execution for model distillation and compression across Waabi's AI stack, focusing on efficient deployment for onboard autonomy and simulation. This involves designing and implementing state-of-the-art pipelines, collaborating with cross-functional teams, defining evaluation frameworks, mentoring engineers, and staying at the cutting edge of research. | Post-trainServe | 9 |
| 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. |
| 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 |
| 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 |
| Senior / Staff ML Training Optimization Engineer Senior/Staff ML Training Optimization Engineer to build standardized distributed training frameworks, profile model runtime and memory, identify and evaluate emerging technologies for training and inference, and work with researchers on resource usage best-practices. Focus on optimizing training efficiency and stability. | DataServe | 8 |
| 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 |
| 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 Verification Engineer - Software Systems This role focuses on the verification of autonomous vehicle platform software, including subsystems like localization, motion planning, and control. The engineer will develop and maintain test infrastructure, including simulation and CI, and create statistical analysis methods to inspect platform performance. The goal is to validate AV software releases before physical deployment, ensuring the quality and safety of the AI-driven autonomous driving system. | Ship | 7 |
| 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 |
| 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 |
| Senior / Staff Software Engineer, Localization Senior/Staff Software Engineer on the Localization team at Waabi, focusing on architecting and developing highly precise, robust state estimation systems for autonomous vehicles. This role involves designing algorithms for multi-sensor fusion, optimizing Rust code for real-time vehicle compute, and building evaluation frameworks. The position requires deep expertise in probabilistic robotics, state estimation, SLAM, and sensor data processing, with a strong emphasis on deploying these algorithms in real-world autonomous driving systems. | Ship | 7 |
| Senior Software Engineer, Auto Labelling Senior Software Engineer to build and scale an offline perception and auto-labelling system using computer vision and machine learning for autonomous transportation. The role involves end-to-end orchestration of training, evaluation, and automation, and deploying new architectures into production. | DataServe | 7 |
| 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 |
| 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 |
| Senior / Staff Software Engineer, ML Datasets & Data Pipelines This role focuses on designing and implementing scalable ML data pipelines for training and evaluating deep learning models for an autonomous driving platform. It involves optimizing data formats, caching, dataloading, and improving data sampling for introspection and edge-case identification. The role requires strong software engineering fundamentals, Python proficiency, and experience with deep learning frameworks and distributed ETL pipelines. | Data | 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 |
| 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 |