Careers at Waabi

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 others. Able to maintain progress towards long-term goals while working on short-term problems. Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have: Experience working in self-driving field. Experience in optimization.

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 Robots need to see the world they live in to make informed decisions. The Onboard Sensors Team brings that sight to our robot autonomous vehicles. We are currently growing our small group to support integrating, fielding, ruggedizing and productionizing our sensor systems to allow Waabi Driver to navigate roads and freeways - charting a new path forward in how freight is moved. We work with live vehicles everyday, learning how to best shape our sensor platform to fit our vision of the future. Come help us build the most reliable AV platform and have a great time doing it! You will… Help shape the Waabi sensors platform as we scale. Solve challenging integration issues across a number of sensor modalities (LIDAR, RADAR, cameras...). Deploy and debug software on real vehicles operating in the field daily. Integrate new types of sensors into existing and future onboard platforms. Work closely with multidisciplinary development teams to design and build innovative sensor solutions. Work closely with operations teams to understand live system behavior, resolve issues and form opinions on how we can mature our system going forward. Qualifications: 6+ years of industry experience working on fielded sensor systems (cameras, lidar, radar, GPS, IMU) Collaborating with large teams that span many disciplines from engineering to operations. Proficiency in C\C++ or Rust (we use Rust) in resource constrained environments. Independently led engineering effort to solve critical systems problems. Experience having fielded and debugged Linux systems below the application level. Bonus: Some electronics experience - ability to read a schematic and use basic test equipment. Passionate about self-driving technologies. Knowledgeable of how time plays a role in coordinated systems. Passionate for developing efficient, readable and testable code.

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 new features to streamline and improve their experience using the simulator. Advocate and set patterns for software development. Drive complex cross-functional technical projects with impact across Waabi’s systems and company-wide impact. Qualifications: MS/PhD or Bachelors degree with a minimum of 5 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study. Experience with a variety of backend technologies and languages. Examples: Rust (Preferred), C++, Python. Experience developing and maintaining production quality software, versus only creating prototypes/proof of concepts. Linux/Unix experience Understanding of test-driven and API-driven development methodologies. Experience designing interfaces between systems. Experience with multi-threaded system design/architecture, algorithms, data structure design, and systems-level programming. Experience working with cross-functional partners/stakeholders when building software frameworks. Experience with software performance, optimization, and profiling. Experience with concurrency and determinism. Open-minded and collaborative team player with willingness to help others. Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have: Experience with game engine development, simulation, or other similar application runtime development. Experience in autonomous systems, robotics or machine learning. Experience working in distributed systems or emulation at scale. Docker & Bazel experience Experience building software systems from scratch. Experience working in an Agile/Scrum environment. Experience working with accelerators. Experience with sensor data processing.

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... Decompose product guidance into use cases and functional requirements. Be responsible for architectures and requirements sets for assigned system-level areas as part of Hardware Development. Work closely with stakeholders and domain engineers to transform product guidance into design through every stage of the product development lifecycle. Author and maintain systems engineering artifacts to accelerate Hardware Development efforts. Actively work to unblock multidisciplinary teams with new perspectives, requirements, and influence to ensure successful delivery of quality Hardware. Use data and engineering experience to qualify work products and arrive at a design compatible with the goals of the organization. Foster a culture of collaboration and learning within and between groups. Qualifications: Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, Mechatronics, or a related field and at least 4 years of experience or equivalent experience and advanced degrees for a total of 8 years related experience. Strong verbal and written communication skills to drive architecture and attribute trade decisions in multi-domain engineering environments. Experience in design, implementation, and test of complex systems with hardware and software components in complex, requirements-driven. industries such as aerospace, autonomous systems, or large scale computing infrastructure. Experience cultivating non-functional and quality attributes of system design such as Safety, Security, and other ‘built-in, not bolt-on’ characteristics. Expertise with systems engineering analysis methods and creating artifacts such as Activity Diagrams, Functional Decompositions, FMEAs, and test plans. Good technical risk sensitivity in order to make decisions with limited input and information. Familiarity with decomposing industry standards into atomic, testable requirements; experience with Hardware Safety standards such as ISO 26262 or related standards is a plus. Experience with Model-based systems engineering methodologies and tools is a plus (e.g. Jama or Polarion). Experience with Requirements Management Database Systems and Requirements Management process is a plus. Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

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 and collaborative team player with the willingness to help others. Bonus/nice to have: Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models. Experience working with large Vision-Language Models (VLMs)

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 Evaluation Algorithms team is responsible for building the algorithms & tooling required to comprehensively evaluate our autonomy system’s performance across all development stages. In this role, you will work closely with the systems & safety teams, responsible for defining the requirements & evaluation criteria, and simulation teams to leverage 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… Develop the tooling, infrastructure, and pipelines to support complex statistical analyses of driving performance scale. Implement metrics and tags to provide a holistic understanding of model performance and enable the discovery of interesting scenarios for training and evaluation. Develop and maintain a high availability query service to enable low-latency analysis and curation over large volumes of metric and tag data Work with large datasets from various sources including real world driving as well as Waabi World, our high-fidelity simulator. Champion engineering excellence, ensuring high-quality, well structured and tested code. Assist in project roadmap planning, prioritisation, and delivery. Qualifications: MS/Bachelors degree with 2+ years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study. Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code. Open-minded and collaborative team player with the willingness to help others. Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus Points: Experience in data processing pipelines, ETL pipelines, distributed computing. Experience in building highly reliable and scalable web services Understanding of cloud job orchestration, monitoring, and instrumentation best-practices. Experience in evaluating complex ML models or self-driving software stacks.

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. On the Commercial Software team, we are building the platform that interfaces with the autonomous vehicle which enables customers and internal operations to manage fleet of trucks. We're a full stack web development team that works closely with our onboard team to integrate our platform and the vehicle, partners with the commercial team to build automated integrations with our customers' systems, and collaborate with design to create polished, seamless interfaces. You will... Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale. Build reliable and scalable tools and framework to support Autonomous Vehicle (AV) development. Develop innovative solutions for challenging problems with scalable, production quality software. Receive hands-on work experience in identifying requirements, building and deploying software. Work closely and learn from the best developers in Autonomous Vehicles and Machine Learning. Build a strong foundation of software development principles and patterns. Qualifications: Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines. 2+ years of industry experience developing production quality software. Demonstrated software engineering experience through internships, work experience, or coding competitions. Proficient in reading and developing production quality software; experience with Go or Typescript. Open-minded and collaborative team player with willingness to help others. Bonus/ nice to have: Experience in one or more of the following areas: modern web technologies, distributed systems, data storage and processing, cloud infrastructures, test-driven and API-driven development methodologies, and system design/architecture. Experience in ML and self-driving. Experience working with robotics or machine learning research teams. Experience working in an Agile/Scrum environment. The Canada yearly salary range for this role is: $149,000 - 220,000 CAD in addition to competitive perks & benefits. Waabi Canada Inc.s' yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all Canada locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

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 into our system Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement Deploy open-set / embedding models to our production environment - empowering new search and curation modalities Champion engineering excellence, ensuring high-quality, well structured, and tested code. Contribute to project roadmap planning, prioritization, and delivery. Qualifications: 4+ years of industry experience. Bachelor's in computer science, engineering, machine learning, or a related technical discipline. Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code. A willingness and ability to learn new skills, technologies, and software libraries as required. Strong experience with data pipelines for large-scale processing and analysis. Strong communication and organizational skills Understanding of cloud job orchestration, monitoring, and instrumentation best-practices. Open-minded and collaborative team player with the willingness to help others. Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus Points: Experience with ML pipelines, including dataset curation, labelling, training and evaluation. Previous experience in self-driving technology or related fields. Familiar with linear algebra (projections, transforms) and 3D geometry. Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions). Experience with with front end development Experience working with open-set / embedding models and deploying them in a production setting Experience working with infra as code (Terraform, CloudFormation, etc)

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 the heart of our mission is an unwavering commitment to safety. We are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless autonomy readiness decisions. This is a unique opportunity to shape how Waabi quantitatively ensures and validates the safety of our autonomous trucking solution, working with our highly realistic simulator, real-world data, and cutting-edge generative AI techniques. You will play a pivotal role in creating the evidence for safe operation and leading efforts in a rapidly evolving and groundbreaking field. You will... Inform driverless release testing by developing sample-efficient, high-signal safety datasets across simulation and closed-course track testing. Establish and manage a robust feedback loop from on-road monitoring and safety relevant events to continuously expand and refine test coverage. Validate and optimize safety evaluation pipelines by conducting comparative analyses on core safety frameworks and benchmark criteria to continuously evolve our safety frameworks. Own the creation of clear and structured safety artifacts, ensuring all readiness decisions are transparent and fully traceable to validation evidence. Mentor peers by fostering a culture of technical excellence and driving clear, constructive collaboration between teams. Qualifications: Undergrad required; Masters or PhD within an engineering discipline preferred. 7+ years of automotive, robotics or closely related industry experience. Experience with using simulation and real-world testing to make readiness decisions. Excellent scripting and data analysis skills (Python, SQL), and a solid foundation in statistics. Experience with building a strong safety case for autonomous vehicles. Ability to communicate complex concepts or data in a simple-yet-accurate manner. Collaborative team player who works effectively across functional boundaries, driving evidence-backed decisions. Passionate about autonomy, solving hard problems, and creating innovative solutions. Bonus: Experience in launching a driverless product. Experience implementing software systems components. Experience building software systems from scratch. Experience in machine learning. Proficiency with data mining and advanced statistical analysis.

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 Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles. You Will.. Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models. Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale. Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios. Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code. Help drive project roadmap planning, prioritization, and delivery. Qualifications: BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience. Proficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX. Hands-on experience building distributed ETL and data processing pipelines. Direct experience managing ML pipelines, including dataset management, dataloading, and optimization. Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices. A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others. Bonus Points: Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines. Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions). Experience solving data challenges specific to autonomous driving. Familiarity with linear algebra (projections, transforms) and 3D geometry. Experience working with multimodal sensor data (e.g., LiDAR, RADAR, camera).