Waabi jobs

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…

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,

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

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

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

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

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.

Director, FP&A 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 Director, FP&A will oversee and build out the FP&A team. They will partner closely with the Corporate controller and leaders across the company to help shape strategies and define priorities across the organization. Responsibilities will include all facets of strategic planning, forecasting, reporting, and capital allocation. As a proactive and analytically driven leader, they will focus on driving efficiency and reducing waste in the system without compromising growth. And they will bring thought leadership and best practices to help Waabi scale its operations effectively. You will focus on... Budgeting and Forecasting: Comprehensive budget preparation and oversight, involving the development of annual operating budgets, forecasts, and financial plans. Regularly collaborate with leadership, working together to monitor and adjust budgets as needed to protect cash flow. Define, model and report on SaaS business metrics including but not limited to ARR/MRR, Churn, CAC, LTV, etc. Evaluate hardware costs, investments (NRE, Tooling etc.), and drive BOM cost optimization. Identify areas for efficiency

Software Engineer, Evaluation Infrastructure 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 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

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

Lead Product Manager, Autonomy 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 We are seeking a Lead Product Manager to lead the strategy and execution of the core autonomy stack that powers the Waabi Driver. This role is central to the success of the business and requires a leader who can bridge the gap between cutting-edge AI research and real-world commercial requirements. You will provide focused ownership and coordination across teams, ensuring that autonomy efforts are aligned with both technical milestones and driverless launch objectives. You will bring the strategic depth and execution rigor needed to manage complexity at this scale, turning advanced autonomy capabilities into a reliable, commercial product. You Will... - Define, develop and execute the Autonomy roadmap, aligning core driving capabilities with the company's driverless and commercial milestones across both the trucking and robotaxi verticals. - Drive the end-to-end product lifecycle for autonomy features by translating complex use cases into actionable requirements and establishing performance benchmarks for deploying core driving behaviors in the real world. -

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

Vehicle Operator (CDL) 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... - Manually drive Class 8 commercial vehicles safely and compliantly. - Manually drive passenger vehicles safely and compliantly. - Operate Class 8 autonomous vehicles on public roadways and test tracks. - Provide feedback about vehicle performance and capabilities. - Perform vehicle pre-trip and post-trip inspection to ensure safety and DOT compliance. - Maintain and improve the Waabi culture of excellence in safety Qualifications: - CDL Class A driver's licence - Minimum of 3 years of recent commercial driving experience with combination vehicles. - Clean background check, drug screen, and driving record. - Ability to use electronic logging device. - Open-minded and collaborative team player with the willingness to help others. - Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.- - Comfortable with late night and weekend shifts. Bonus/Nice to Have: - Previous vehicle autonomy experience. - Experience troubleshooting computer systems. You will... - Manually drive Class 8 commercial vehicles safely and compliantly. - Manually

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 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

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

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

Research 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 As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms. - Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies. - Support deploying solutions to our production systems, collaborating closely with platform teams to ensure

Senior / Staff ML Training 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

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 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… - Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale. - Build reliable and scalable tools and frameworks to support Autonomous Vehicle (AV) development. - 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. - Assist in task planning and estimation. Qualifications: - MS/PhD or Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study. - 5+ years of industry experience reading and developing production quality software.. - Experience using languages such as Python, Go, C++, or Rust. - Experience working in a team environment on a common codebase. - Ability to learn new technologies quickly. - 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:

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

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:

2026 Intern, PhD 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 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, controls, simulation, mapping, localization, core AI, etc. - Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems. - Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog. Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers. - At least one publication in top Machine Learning, Computer Vision, or Robotics