Jobs at Waabi

Lead product design for Waabi’s driverless commercial and operations ecosystem, including fleet management, remote assistance, dispatch, monitoring, and safety-critical workflows. Observe fleet operators and terminal staff, design human-AI interactions, extend the design system, and ship directly in React codebases using AI-assisted tools. Collaborate with product, engineering, research, and operations teams while helping establish design culture and processes as the second product designer.

Lead software quality for autonomous vehicle planner architecture, developing fault-tolerant systems and improving reliability across motion planning and onboard software teams. Design motion planning software and decision-making algorithms for complex traffic scenarios, while managing experimentation and data-generation pipelines. Collaborate with multidisciplinary engineering and research teams to deliver safe, production-quality self-driving technology.

Responsible for vehicle and component bringup, troubleshooting software and hardware faults, and supporting an autonomous vehicle fleet. Develops and executes on-vehicle test plans, analyzes sensor data, improves system performance and testing efficiency, documents debugging processes, and collaborates with engineering teams and OEMs on communication interfaces and vehicle performance.

Decompose product guidance into use cases, functional requirements, and system architectures for hardware development. Collaborate with multidisciplinary engineers throughout the product lifecycle, author systems engineering artifacts, qualify work products, manage technical risks, and guide safety, security, and quality attribute decisions. Apply systems engineering analysis methods, requirements management, standards decomposition, and testing practices to support reliable autonomous transportation hardware.

Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.

The role involves building standardized training frameworks, profiling model performance, collaborating with teams, and improving related tooling.

Lead automotive partnerships, negotiate agreements, and execute strategy aligned with company goals while collaborating across engineering, product, and finance teams.

The Applied Data Scientist will analyze performance data of Waabi's autonomy systems, develop automated dashboards, and collaborate across teams to drive insights for performance improvements.

Lead development of web tools for autonomous driving, mentor engineers, and collaborate on technical architecture, focusing on responsive applications and cloud infrastructure.

The role involves designing frameworks for autonomy evaluation, implementing performance measurement methodologies, and developing analytical models for self-driving technologies. The applied scientist will collaborate with cross-functional teams, prototype analyses, and ensure rigorous evaluation standards are met.

Lead the financial close process, manage consolidations, ensure accurate US GAAP reporting, automate accounting tasks with AI, and support audits.

Develops and executes autonomous vehicle test plans on closed courses and public roads. Responsibilities include preparing test vehicles, coordinating engineers and resources, evaluating vehicle performance, operating actor vehicles, generating test reports, maintaining vehicle systems and records, and supporting safe test operations. Requires experience with vehicle dynamics, autonomous vehicle hardware and software, systems engineering workflows, requirements verification and validation, Linux, and Python or MATLAB.

Develop and execute autonomous vehicle test plans on closed courses and public roads. Coordinate engineers, drivers, vehicles, schedules, and testing resources; prepare vehicles; evaluate performance; produce detailed reports; and support inspections, maintenance, and record-keeping. The role requires vehicle dynamics and autonomous vehicle systems expertise, data analysis skills, systems engineering and verification experience, strong communication, flexible hours, and travel availability.

Execute firmware and electrical verification and validation for autonomous vehicles, including requirements traceability, DVP&R testing, HIL benches, regression automation, environmental and compliance testing, root-cause analysis, and certification management. Collaborate with engineering, quality, systems, OEMs, suppliers, and laboratories while developing V&V processes, tooling, documentation, and test infrastructure aligned with automotive standards.

Own mechanical verification and validation for autonomous vehicles, including requirements decomposition, DVP&R planning, functional and environmental testing, fixture development, troubleshooting, root cause analysis, and corrective actions. Lead compliance testing and certification against automotive and safety standards, coordinate accredited laboratories, maintain certification documentation, and develop mechanical V&V processes, lab capabilities, and toolchains. Collaborate with design, systems, quality, software, OEMs, and suppliers.

Lead design, deployment, and maintenance of high-performance networks, compute and storage clusters. Implement security and incident response, automate server and network provisioning (Ansible/Terraform), manage Linux server fleet, support engineering and hardware teams, and coordinate facility infrastructure. Onsite role requiring physical handling of equipment.

Hands-on engineer supporting vehicle compute, networking, on-prem servers and storage for an autonomous fleet. Implement OS/software delivery, diagnostics, high-volume data pipelines, tooling, and collaborate across hardware, software, IT and fleet teams. Participate in on-call support.

As a Research Engineer in Sensor Simulation, you will develop multi-sensor rendering systems for self-driving technologies, collaborate with scientists and engineers, and work on innovative solutions using machine learning and neural rendering techniques.

Lead the strategy and execution of the autonomy stack for Waabi Driver, ensuring alignment across teams, managing product lifecycles, and making data-driven decisions to commercialize autonomous features.

The Senior Manager will cultivate relationships across government levels, track legislation, build support programs, and represent Waabi in industry associations, with a focus on Canadian policy and public affairs.