Waabi jobs

Research Scientist, Neural Reconstruction Toronto, ON Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai Waabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds. This role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World's ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale. You will… - Conduct fundamental and applied research in neural reconstruction, including: • 3DGS / NeRF • Dynamic scene reconstruction • Feed-forward reconstruction • Multi-sensor scene representation learning - Build scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure. - Collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering

Research Scientist, World Models Toronto, ON Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai Waabi's autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World's ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training. You will… - Conduct fundamental and applied research in generative and predictive world-modeling • Video generation and prediction. • Latent diffusion / autoregressive / flow-matching models. • Multimodal foundation models for driving scenes. • LLM / VLM / VLA methods for scene understanding, reasoning, and control. • Generative scenario modeling and controllable simulation. • Model distillation. - Collaborate with

Mechanical Engineer Pittsburgh, PA Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will... - Be responsible for mechanical design, assembly, test and integration of sensors, compute, modules, and actuation systems. - Work closely with the software team to define and convert perception, planning, and control requirements into hardware specifications. - Design for automotive requirements and environmental challenges. - Support prototype and production module builds. - Manager relationships with suppliers and external partners - Diagnose and drive resolution of technical issues. Qualifications: - Bachelors of Science in Mechanical Engineering or similar fields. - Proficient with Solidworks. - Experience with technical drawing tolerancing for various manufacturing operations. - Experience with fundamentals of Finite Element Analysis (FEA). - Experience with PLM tools and document revision control. - Test and qualify mechanical designs for on road vehicle use. - Experience with various designs for manufacturing processes like sheet metal, injection molding, stamping, die cast, etc. - Technical ownership of hardware development from prototype to production. - Present mechanical solutions to cross functional teams. Bonus Qualifications:

Software Engineer, Labelling, Data & Automation Toronto, ON Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology. The Labelling & Data Automation team plays a critical role in Waabi's training pipeline. We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers. You will.. - Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator. - Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected - Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back

Research Engineer, World Models Toronto, ON Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai Waabi's autonomous-driving stack is powered by Waabi World, which delivers realistic, scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World's ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training. You will… - Design, implement, and scale state-of-the-art generative and predictive world-modeling systems: Video generation and prediction Latent diffusion / autoregressive / flow-matching models multimodal foundation models for driving scenes LLM / VLM / VLA methods for scene understanding, reasoning, and control Generative scenario modeling and controllable simulation Model distillation - Collaborate closely with Research Scientists to translate cutting-edge

Applied Scientist Toronto, ON Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability. We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization. You will... - Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing. - Develop and maintain sophisticated, cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems, tracking progress toward critical

Senior Manager, Federal Policy and Public Affairs Washington, DC Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will… - Cultivate and maintain relationships across Congressional offices and committees, and federal Agencies (with a focus on USDOT, NHTSA and FMCSA). - Execute on Waabi's key legislative and regulatory goals and build awareness and understanding of Waabi's technology and business. - Monitor and lead engagement with Congress on all major legislative initiatives impacting Waabi. Ensure Waabi's priorities are integrated into any relevant federal legislation including via direct lobbying. - Monitor key federal rulemakings, and lead the internal drafting of all relevant regulatory submissions. - Represent Waabi in-person at all major DC-based events (including industry events, Congressional hearings and markups, regulator forums, etc). - Serve as the point of contact for all federal policy matters, reporting key developments and strategic recommendations to the Head of Policy. Qualifications: - Deep federal legislative and regulatory know-how. - Proven track record working with Congress, NHTSA, FMCSA, and various trade associations. - 10+ years of experience in federal

Research Scientist, Learnable Planner Remote US & Canada Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will... - Design and execute on a research agenda for deep-learning based motion planning for self-driving. - Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more. - Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems. -

Senior Manager, Canadian Policy and Public Affairs Toronto, ON Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will… - Cultivate and maintain strategic relationships across Parliament, key federal ministries (e.g., Transport Canada, ISED), and all relevant provincial/territorial governments. - Track all relevant provincial and federal legislation and regulation and ensure Waabi's priorities are integrated into legislative and regulatory processes. - Build out a program to increase financial and operational support from the Canadian government. - Represent Waabi within key Canadian industry associations and coalitions, driving consensus and proactively shaping coalition policy positions on critical issues. - Lead and oversee the drafting and submission of regulatory comments on federal and provincial rule-makings. - Serve as the primary point of contact for all Canadian policy matters, reporting key developments and strategic recommendations to the Head of Policy. Qualifications: - Proven track record working with federal and provincial ministries, including both political and civil service staff. - Deep legislative and regulatory know-how at both the provincial and federal levels. - Experience serving as a

Staff Commercial Product Manager, Trucking San Francisco, CA Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai About the Role Waabi's Commercial Product team defines and delivers the end-to-end commercial product that makes autonomous trucking deployable, scalable, and valuable to customers. We sit between autonomy, operations, business development, and customers, turning driverless capability into a real-world product that can be launched, sold, operated, and scaled. We are hiring a Staff Commercial Product Manager to own critical commercial product workstreams that bring the Waabi Driver to market. This person will define the operating models, service capabilities, partner workflows, and customer-facing product requirements required to bring the Waabi Driver to market and scale it from commercial pilots into a broader autonomous trucking network. This is not a traditional software PM role. You will help define how autonomous trucking commercialization works in the real world: how trucks launch and land, how missions are monitored, how exceptions are handled, how customers are onboarded, how partners integrate, how sites are qualified, and how the product scales. What You'll

Senior Software Engineer, Auto Labelling Remote US & Canada Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will... - Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks. - Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment. Qualifications: - Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study. - 3+ years of experience developing solutions in ML systems or the ML software stack. - Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads. - Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference. - Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code. - Open-minded

Evaluation Lead Toronto, ON Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai We are looking for a hands-on leader to build a new centralized Evaluation team. This team will be responsible for providing comprehensive and holistic analysis on all aspects of performance of the autonomy system. In this role, you will collaborate closely with the systems & safety team, responsible for defining the requirements & evaluation criteria, as well as the autonomy teams to understand their evaluation needs. You will get to work with Waabi World, our highly realistic closed-loop simulation engine built with the latest in generative AI technologies to deliver the evaluation capabilities needed to support the safe development of the next generation of autonomous vehicles! You will... - Lead and build a cross functional team of software engineers, data analysts, and data scientists supporting automated workflows that provide high signal on autonomy performance. - Design scalable production frameworks for sampling evaluation sets, developing and improving metrics, and systematically measuring the performance of both autonomy and the eval ecosystem itself.

Research Scientist, Simulation Agents Remote US & Canada Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road. You will... - Own and pursue a research agenda to develop realistic and controllable simulation agents. - Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents. - Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi's milestones. - Mentor

Senior / Staff Software Engineer, Simulation Platform Toronto, ON Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai Simulation is at the core of Waabi's approach to autonomous vehicle development. Our closed-loop simulation engine built with the latest in generative AI technologies, Waabi World, provides an extremely realistic environment for training and evaluating self-driving systems. The Simulation Platform team is responsible for delivering a modular and scalable platform which integrates the onboard autonomy system, intelligent actor models, and sensor simulation. You will... - Contribute to and improve our state of the art self-driving simulator Waabi World to accelerate autonomous vehicle (AV) development. - Improve the scalability and performance of the simulation platform to run simulations efficiently at an extremely large scale. - Design and implement orchestration software between simulation subcomponents including the autonomy system, data-driven actor models, and sensor simulation powered by generative AI. - Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers. - Work closely with internal users to understand their requirements and workflows and propose

HR Business Partner Dallas, TX Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will... - Act as a trusted consultant to senior leaders, providing data-driven insights on organizational design, workforce planning, talent development and gaps, etc. - Provide overall support to employees, managers and leaders in the business: coaching on performance management, accommodations, business conduct, policies, and other HR-related topics. - Analyze data from various daily activities and projects to identify patterns and trends that can help create, improve processes, or identify areas of concern across your business teams. - Design and lead the organization through broad change management efforts associated with the rapid growth of the company and the evolution towards commercialization and product diversification, including operating model evolution, communication structure, process formalization and organizational design evolution. - Implement high impact performance management frameworks to drive continuous feedback and growth. - Act as a steward of our culture through growth, ensuring our values continue to act as guiding principles for leaders, managers and employees. - Partner with the People team

Distillation Lead San Francisco, CA Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai Waabi's Physical AI platform is powered by state of the art ML models which must be deployed efficiently across diverse use-cases, from onboard vehicle inference to large-scale simulation. As the Distillation Lead, you will own the strategy and execution for distillation across Waabi's AI stack, ensuring our most capable models run efficiently in every deployment context. You will partner closely with ML Platform, Infrastructure, Onboard Autonomy, and Simulation teams to deliver compressed models that meet the performance requirements of both real-time onboard systems and high-throughput simulation pipelines. You will… - Define and drive the technical strategy for model distillation and compression across Waabi's AI stack - spanning perception, world models, and planning - with an eye toward both onboard deployment and simulation use-cases. - Design, implement, and scale state-of-the-art distillation and efficiency pipelines, which may include: - Distillation for generative models (diffusion, autoregressive, flow-matching, video models) - Quantization-aware training (QAT) and post-training quantization (PTQ) - Knowledge distillation (feature-level, response-based,

Research Internship/Co-op Toronto, ON Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will... - Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale. - Lead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning,

Senior / Staff Software Engineer, Motion Planning Remote US & Canada Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will... - Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios. - Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale. - Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers to build a reliable autonomy stack for self-driving vehicles. Qualifications: - MS/PhD or Bachelor degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study. - Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making). - Production-quality coding skill in Python or C++. - Solid problem solving skills using linear algebra, geometry, statistics & probability. - Ability to rapidly prototype and test new algorithms. - Open-minded and collaborative team player with the willingness to help

Senior / Staff Software Engineer, Localization San Francisco, CA Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach. You will... - Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization. - Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc. - Architect and develop mathematical models to be used

Senior / Staff Applied Scientist Toronto, ON Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability. We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping the methodologies underlying our evaluation ecosystem. This is a senior technical role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will help co-design and build the rigorous frameworks that validate the Waabi Driver across Waabi World (Simulation), Track, and Public Road testing. You will... - Design scalable production frameworks for autonomy evaluation. You will apply statistically rigorous methodologies to challenges such as sampling evaluation sets to ensure comprehensive Operational Design Domain (ODD) coverage. - Design and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the

Senior / Staff Software Engineer, Web Tools Toronto, ON Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai On Tools, we build software tools that solve Waabi-specific problems and accelerate development. We have a relatively unique set of skills within the software organization that lets us build those tools. The Tools team owns and maintain services that have been built. In this team you will improve on our existing suite of services, and expanding it with new tools. You will... - Lead technical and architecture discussions, collaborating with Researchers and Engineers. - Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices. - Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale. - Build and maintain interactive web tools including interactive simulation, custom labelling tools, data annotation tools, dataset curation tools, result comparison tools, and more. Qualifications:

Platform Systems Engineer; Motion Planning and Control Phoenix, AZ Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will... - Create Autonomous Vehicle (AV) Requirements using analytical and numerical methods, with focus on motion planning, motion control and Vehicle Dynamics (VD). - Own the definition and requirements development of the Motion Planning, Motion Control and low level vehicle control contract. - Create methods and use physical and simulated data to inform and verify principled requirements Advance VD simulation in AVs. Qualifications: - Strong foundation in AV systems in motion planning, motion control and VD and low level actuator control. - Strong physics and control systems knowledge. - Knowledge of Systems Engineering and Verification and Validation (V&V) best practices. - Knowledge of functional safety standards (i.e. ISO 26262). - Comprehensive coding skills in Python, or other common programming languages. - Risk modeling, translating probabilistic safety goals into physical metrics, and quantifying system uncertainty (including correlated errors). - Requirements decomposition from high-level safety goals into detailed, verifiable functional and technical requirements for a Level

Systems Engineer - Test Platform Verification Phoenix, AZ Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai At Waabi we develop a highly autonomous vehicle that integrates sensors, compute and actuators into a base vehicle. This is the platform which we use as the foundation for our Waabi Driver that uses novel generative AI algorithms to develop and scale an autonomous trucking solution very quickly. Ensuring that this platform is safe for supervised autonomy and driverless autonomy operations requires systems engineering practices like tracing product requirements to system requirements to tests and eventually test executions in order to build a very strong safety case. In this role you will work within the Platform Systems Engineering team and cross functionally with Hardware, Software and Operations at Waabi to define and realize verification methods by developing and executing tests. A strong focus will be on: - Creating verification plans based on requirements - Developing and documenting tests - Executing tests with support from other test engineers - Developing fault injection tools and techniques You will…

Director, OEM & Strategic Partnerships San Francisco, CA Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will... - Develop and execute a detailed automotive and partnership strategy aligned with Waabi's goals. - Be a key business interface between Waabi and OEM partners and drive negotiations. - Work cross-functionally with Waabi's engineering, product, finance, and legal teams to negotiate new deals and execute upon existing contracts. - Build, manage and evolve strong partnerships to support Waabi's business objectives. - Structure and negotiate partnership agreements with win-win incentives and balanced terms. - Evaluate and maintain partner engagement by building trusted relationships with partners and developing a thorough understanding of their priorities and challenges. - Convey business & product requirements in collaboration with technical stakeholders, taking into consideration Waabi's overall strategy and objectives. Qualifications: - MS/MBA or Bachelors degree in management, technical, or engineering field with a minimum 10+ years of work experience in business development or strategic partnerships or a similar partner-facing role in the automotive or relevant fields. - Automotive experiences and