Waabi jobs

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

Sensors Team Lead Remote US 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... Sensor Development Responsible for driving the technical direction and creating the overall strategy/roadmap for Waabi. Developing a technical plan that aligns with the development of the Waabi Driver over multiple generations and stages of maturity for different verticals. Sensor Evaluation and Requirements Maintain strategic technical relationships with all sensor vendors to stay informed on the latest technologies and options. Lead the comprehensive testing and evaluation of new sensor samples utilizing test fixtures and the Sensor Mule vehicle along with the development of the related tooling to support. Drive the development of Waabi Sensor Requirements in collaboration with the Systems and Hardware Systems teams. Integration and Optimization Oversee the entire sensor integration pipeline, ensuring raw data is correctly ingested into the compute platform. Manage sensor configuration to align with optimized settings (resolution, frame rate, FOV) provided by the Autonomy & AI team. Health, Reliability, and Safety Implement systems for monitoring data integrity, identifying issues such as corrupt data,

Systems Engineer, Platform Requirements and Verification Remote US 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… - Own the creation, documentation, alignment and verification of vehicle platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively - Bring an in-depth understanding of sensors, compute and actuators used in self-driving vehicles and drive an architecture with requirements that generate a simple yet very safe highly autonomous vehicle platform - Act as a central point of contact at Waabi for specific vehicle platform requirements and related tests and communicate updates, progress and potential roadblocks to stakeholders at all levels - Help drive Waabi's safety culture through application of safety standards and methodologies in your area of responsibility across all supporting teams at Waabi including Systems Engineering, Hardware and Software - Define necessary improvements for our highly realistic simulator to effectively verify most vehicle platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented - Own

Senior / Staff Software Engineer, High-Performance Onboard Algorithms 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 in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and others) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation. You will… - Be part of a multidisciplinary team of Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack. - Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware. - Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming. - Collaborate with Waabi's autonomy and hardware teams to ensure the efficiency and robustness of the

Staff Systems Engineer - Behavior Requirements and Verification Remote US 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… - Lead and own the creation, documentation, alignment and verification of all behavioral system requirements at Waabi with a strong understanding of vehicle behaviors and interactions and how to describe and evaluate them efficiently and effectively - Act as a central point of contact at Waabi for all matters related to behavioral requirements and related scenario sets and communicate updates, progress and potential roadblocks to stakeholders at all levels - Help drive Waabi's safety culture through application of safety standards and methodologies in your area of responsibility across all supporting teams at Waabi including Systems Engineering, Hardware and Software - Define all necessary improvements for our highly realistic simulator to effectively verify all driving behaviors under all required conditions and work with other teams at Waabi to get these improvements designed and implemented - Own the overall concept for how we document and link all product requirements, system requirements, tests and test

Platform Systems Engineer; Sensing and Perception, Maps and Localization 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... - Drive Technical Execution: Lead the end-to-end systems engineering lifecycle for the Sensing, Perception, Maps, and Localization domains, ensuring timely delivery of robust solutions across hardware and software teams. - Architect Requirements: Create and refine Autonomous Vehicle (AV) Requirements using analytical and numerical methods, focusing on sensing capabilities, perception performance, sensor fusion, mapping, and pose estimation. - Own the Contract: Own the definition and requirements development of the Sensing, - - - Perception, and Localization contracts, covering sensor performance, calibration, data quality, and system degradation strategies. - Lead Cross-Functional Integration: Act as the primary technical liaison connecting AI and software engineers, hardware engineers, and safety teams to resolve complex system-level bottlenecks and build consensus on architectural trade-offs. - Validate via Data: Create methods and use physical and simulated data to inform and verify principled requirements for the entire sensor suite and localization pipeline. - Advance Simulation: Improve the simulation and synthetic

Safety Engineer, Collision Risk 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 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… - Scale safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure. - Develop and monitor quantitative metrics to evaluate system performance against established safety targets. - Optimize test coverage within Waabi's high-fidelity simulator to validate driving behaviors across safety-critical scenarios. - Define

Senior / Staff Graphics Software Engineer 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 Graphics Software Engineer, you will create the next generation of multi-sensor rendering software for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation. You will… - Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge multi-sensor simulation stack leveraging graphics, computer vision, and machine learning. - Design and implement core rendering technology for simulating cameras, LiDARs, and RADARs by mixing traditional real-time rendering with neural rendering, 3D Gaussian Splatting, generative models, etc. - Collaborate with Waabi's autonomy and safety teams to improve the realism and diversity of Waabi World. - Have the opportunity to publish high-impact research at top conferences (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA). Qualifications: - Real-time graphics experience. You've spent a minimum of three years shipping real-time

Senior / Staff Software Engineer, ML Datasets & Data Pipelines 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 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

Senior Safety Engineer, Collision Risk 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 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… - Scale and manage safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure. - Develop and monitor quantitative metrics to evaluate system performance against established safety targets. - Optimize test coverage within Waabi's high-fidelity simulator to validate driving behaviors across safety-critical

Fleet Specialist 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 The Fleet Specialist is a proactive "self-starter" who serves as the vital technical link between Waabi's autonomous vehicle systems and real-world operations. This is primarily an in-truck role focused on mission success through real-time technical monitoring and high-integrity data collection. When not on a mission in a vehicle, the Fleet Specialist drives operational efficiency through ancillary in-office support, ensuring data ingestion and fleet readiness are never bottlenecks. You will… Field Operations (Primary In-Truck Role) - Mission Monitoring: Monitor vehicle system status from the front right seat during all manual and autonomous trips. - Technical Preparation: Collaborate with engineers, dispatch, and triage to prepare vehicle compute systems for missions. - Real-Time Data Logging: Use Slack trip threads to provide a time-stamped record of start/stop times, delays, and mission events as they progress. - Performance Reporting: Accurately complete the applicable documentation before, during, and immediately after mission completion. - Ensure all data adheres to strict formats: 24-hour time (e.g., 22:30), standardized vehicle

Manufacturing Engineer (NPI) 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... - Drive APQP Program Management at CM/Tier 1 sites, owning APQP to ensure a flawless Start of Production (SOP) and obtain PPAP deliverables. - Design for Manufacturing (DFM) & Assembly (DFA): Provide design maturity feedback during APQP Phase 2, ensuring that the hardware can be built repeatedly with the CM's specific tooling and equipment. - Support Supplier Quality Engineering (SQE) by validating that component-level PPAPs from sub-tier vendors are integrated correctly into the CM's assembly process. - Be responsible for the mechanical assembly, test, and integration of sensors, compute, and actuation systems, defining the special characteristic (SC/CC) steps for the manufacturing process. - Work closely with the software team to define, deploy, and validate End-of-Line (EOL) testers and calibration routines that confirm the "digital health" of the hardware. - Lead the development of Process PPAP deliverables, including PFMEAs, Process Flow Diagrams, Control Plans, and Work Instructions ensuring the CM has identified and mitigated all assembly-related risks with

Senior / Staff Software Engineer (Observability / SRE) 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.. - Design and lead the architecture and development of Waabi's monitoring and observability stack, used to monitor the health and performance of cloud and on-prem environments. - Develop and extend workloads and benchmarks (compute, storage, network, ML/AI) and integrate stress, chaos, and regression tests to validate hardware and platform choices. - Analyze and optimize end-to-end performance across hardware, firmware, Linux kernel, runtimes, and distributed services using advanced profiling tools (perf, eBPF, flamegraphs, tracing frameworks). - Build automation and observability tooling (Go/Python/Java, Kubernetes/Docker) for CI/CD-based performance regression detection, telemetry, alerting, and anomaly detection. - Work with client teams to support their applications' observability requirements. - Influence system architecture and tooling decisions that improve how Waabi builds, monitors, and scales its infrastructure. - Drive execution and quality, writing design docs, setting milestones, mentoring ICs, and communicating insights and results to stakeholders and leadership. Qualifications: - 5+ years software engineering or systems/performance engineering experience (BS

Senior Recruiter 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... - Help build multidisciplinary teams to enable safe self-driving at scale. - Own the full cycle recruitment for roles in both US and Canada: driving hiring strategy to closing top talent while delivering the best in class candidate experience. - Partner and collaborate with hiring managers to understand headcount needs while creating strategy, prioritization of roles, deliverables, and tracking processes with measurable metrics. - Maintain data in our Applicant Tracking System (Lever) and use data driven approaches to optimize recruiting pipelines, report on pipeline health, and influence strategy. - Build for the future by improving our systems & tools, interview frameworks, and hiring best practices across the team. Qualifications: - Minimum of Bachelor's degree in Business, HR, Communications or similar fields. - 5+ years full-cycle recruitment experience in a fast paced, high growth environment supporting non tech & technical domains. - Excellent verbal, written communication and interpersonal skills. - Experience using an ATS to source, track and manage

HW V&V Lead 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... Strategic Scaling and Team LeadershipStrategically scale Waabi's Hardware V&V (Verification and Validation) capability to support rapid market growth and meet internal DV/PV standards or specific OEM requirements.You will lead, mentor, and manage a high-performing team responsible for all V&V activities. V&V Execution and Quality Assurance Oversee the planning and execution of comprehensive functional tests and performance evaluations on hardware prototypes. Direct the team in identifying and troubleshooting issues related to hardware functionality, compatibility, and performance, ensuring high system reliability. Cross-Functional Collaboration Collaborate closely with software engineers to ensure seamless hardware-software integration and compatibility throughout the testing process. Document, communicate, and present detailed test results to cross-functional design teams to drive improvements. Regulatory Compliance and Certification Manage all aspects of Compliance Testing and Certification. Plan and execute critical compliance tests, including EMI/EMC, electrical safety, and environmental tests, in accordance with standards such as UL, CE, ISO, IEC, LV, and various OEM standards. Certification Management Coordinate with external accredited

Senior / Staff Infrastructure Engineer (On-premise) 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 As Waabi continues to grow rapidly in 2026, the Infrastructure team will be challenging ourselves to improve our ML infrastructure both in scale and efficiency while ensuring additional systems supporting the company's engineering and research efforts are running top notch. We're looking for a candidate who has extensive experience in designing, implementing and troubleshooting physical computers and networks while being able to work with cloud systems where necessary. The ideal candidate would work closely with the hardware team to collaboratively design and implement vehicle computers and networks. The successful candidate will also actively contribute to our physical infrastructure to advance machine learning efforts, CI systems, and software delivery. You will... - Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale. - Collaborate with hardware team on vehicle compute and network designs and implementation. - Work with software and hardware teams on OS and software delivery

Research Engineer, Calibration 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 As a Research Engineer in Calibration, you will create the next generation of calibration systems autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable calibration and monitoring solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation. You will… - Be part of a multidisciplinary team of Engineers and Scientists working on a scalable system to produce fast, accurate calibration for a wide array of sensing modalities (e.g. camera, lidar, radar, IMU, GNSS). - Develop the next generation of calibration algorithms leveraging classical and learning-based approaches in 3D geometry with a focus on robustness, compute efficiency, and safety-critical accuracy. - Design and implement real-time calibration integrity monitoring algorithms to ensure safe autonomous driving on a diverse fleet of vehicles. - Coordinate large-scale deployment of the calibration of an entire fleet of autonomous vehicles. Qualifications: - Deep knowledge in calibration problems. You have prior experience fusing multi-sensor

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

Senior / Staff Machine Learning Infrastracture Engineer 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, develop, and implement the machine learning platform for the continuous deployment and integration of machine learning models. - Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes. - Automate the training, testing and deployment processes for machine learning models. - Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability. - Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness. - Ensure compliance with security and data privacy standards in all MLOps activities. Qualifications: - 3-5 years of experience supporting machine learning training platforms. - Bachelor's degree in Computer Science, Data Science or a related field. - Strong understanding of machine learning principles and model lifecycle management. - Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning

Research Engineer, Sensor Signal Processing 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 Research Engineer in Sensor Signal Processing, you will be a key contributor to the research and development of Waabi's signal processing stack for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and other modalities) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation. You will… - Be part of a multidisciplinary team of scientists and engineers working on a system that turns raw sensor data captured under diverse environments into useful signals for autonomous driving. - Design and implement novel signal processing techniques for sensor data acquisition, fusion, and filtering. - Optimize signal processing algorithms for deployment on parallel computing architectures (e.g., CPU, GPU, DSP, and specialized accelerators). - Collaborate with Waabi's autonomy and hardware teams to ensure the robustness of the entire system. - Have the

Research 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 Join us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable 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. Both senior and junior scientists are welcome to apply. You will... - Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator. - Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment. - Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc. - Support

Research Engineer, Neural Rendering 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 Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation. You will… - Be part of a team of multidisciplinary Research Scientists and Engineers working on building a best-in-class multi-sensor simulation stack. - Use cutting edge techniques in reconstruction, neural rendering and generative AI to build large-scale, efficient digital twins from real-world camera, LiDAR, and RADAR data. You will work on shipping next-generation simulation software which mixes traditional real-time rendering with NeRF, 3D Gaussian Splatting, diffusion models, etc. - Collaborate with Waabi's autonomy and safety teams to improve the realism and diversity of Waabi World. - Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (CVPR, ECCV, ICCV,

Senior Accounting Manager 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... - Lead the monthly, quarterly, and annual close process. - Manage consolidation of financial statements across entities. - Prepare and review US GAAP financial statements. - Ensure accuracy and completeness of general ledger activity. - Automate accounting processes using AI, including, consolidation, financials statements preparation, close, reconciliations, and reporting workflows. - Identify and implement AI-driven efficiencies to reduce manual work and improve accuracy. - Partner cross-functionally to improve systems, data flow, and reporting. - Support audit processes and maintain audit-ready documentation. - Additional ad hoc projects and responsibilities as assigned. Qualifications: - Bachelor's degree in Accounting, Finance, or a related field. - 5+ years of accounting experience (public accounting and/or industry). - Strong experience in general accounting, consolidation, and financial reporting. - Deep understanding of US GAAP and the ability to draft technical accounting memos that stand up to audit scrutiny. - Proficiency in accounting software (e.g., QuickBooks, NetSuite) and Microsoft Excel. - Demonstrated ability

Senior / Staff ML Onboard Optimization Engineer 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... - Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach. - Expand the model deployment pipeline to new GPUs and embedded systems for the next generation of our onboard compute system. - Use frameworks such as TensorRT and modelopt to optimize the models running on the truck. - Create and benchmark new CUDA kernels for inference. - Comprehensively profile model runtime and memory to pinpoint performance bottlenecks. Qualifications: - MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study. - Solid coding proficiency in a variety of coding languages including Python, C++ or Rust. - Experience in deep learning frameworks such as PyTorch. - Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight. - Experience with Nvidia embedded platforms such as Nvidia Jetson or