Jobs at Waabi

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

The Senior Recruiter will manage the full cycle recruitment, collaborate with hiring managers, and optimize recruiting systems while fostering a diverse and innovative recruitment strategy.

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

The role involves designing and implementing MLOps pipelines, optimizing machine learning processes, and ensuring model performance and compliance in a collaborative environment.

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

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

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.

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.

Define verification plans and test methodologies for embedded platform components. Develop and maintain HIL/SIL test infrastructure, automate test execution and reporting, design tests to verify system functionality and performance, analyze data with Python/Matlab, and collaborate with partners to validate a safe autonomous driving platform involving sensors, compute, ECUs, and actuators.

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.

Develop and own requirements for autonomous vehicle motion planning and control, utilizing simulation data and establishing best practices in systems engineering.

The Distillation Lead will define and implement strategies for model distillation and compression, collaborating with various teams to deliver efficient models for real-time systems and simulations.