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Owns map quality, annotation standards, validation strategy, testing, sensor-data analysis, and map deployment across an autonomous vehicle fleet. Coordinates rollouts, rollbacks, and releases; collaborates with mapping and localization teams to improve tools and workflows; and mentors Mapping Specialists. Requires GIS experience, ideally with HD maps, plus map validation and testing expertise. Robotics, ROS, Python scripting, autonomous vehicle deployment, and AI-assisted development experience are beneficial.

Annotate and maintain maps for autonomous vehicles, plan map testing and validation, collaborate with testing teams using onboard sensor data, and manage map deployment and updates across vehicle fleets.

Lead the architecture and development of high-throughput simulation and regression testing tools for autonomous vehicle systems. Build AI-enabled test-case generation frameworks using driving data, support perception-in-the-loop, hardware-in-the-loop, and vehicle-in-the-loop testing, shape infrastructure roadmaps, and mentor engineers through code reviews and system-design best practices.

Owns the complete lifecycle of electronics hardware for autonomous vehicles, from requirements, schematic and PCB design through bring-up, validation, production release, troubleshooting, and sustaining engineering. Designs STM32-based control, power, sensing, and communication systems interfacing with vehicle components. Leads debugging, root-cause analysis, reliability and EMC validation, component lifecycle management, supplier support, design reviews, and mentoring of electronics engineers.

Develop production-quality modern C++ software for autonomous robotic vehicles. Implement hierarchical state machines and advanced autonomy features, create reliable control logic, maintain technical design documentation, and contribute to software deployed on real-world systems. The role requires Linux development, ROS or similar middleware experience, strong communication, and the ability to solve problems in a fast-paced environment.

Designs, operates, and scales production hybrid infrastructure across on-premises, cloud, and customer environments. Responsibilities include Kubernetes platform management, secure networking, observability, deployment automation, GitOps, infrastructure as code, high availability, incident response, disaster recovery, and internal developer platform capabilities. The role supports autonomous driving services, data systems, streaming platforms, and internal tooling while maintaining strict reliability and security standards.

The Senior System Quality Engineer owns system behavior across modules, leads root cause analysis, coordinates between teams, and drives process improvements.

Lead the design of localization and mapping systems for autonomous vehicles, ensuring accuracy under various conditions and mentoring team members.

The Intern will validate maps, develop simulation tools, maintain map quality, and collaborate with testing teams for autonomous vehicle mapping.

Design, implement, and optimize planning algorithms for autonomous vehicles. Collaborate cross-functionally and mentor junior developers.