• Define and execute motion planning and prediction projects that improve our self-driving vehicles’ capability to safely, comfortably and legally navigate complex traffic scenarios • Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning • Productionize and deploy solutions onto autonomous vehicle fleets • Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products’ on-road performance • Communicate progress and challenges to leadership

• Work independently and lead end-to-end tasks • Provide technical leadership to the engineering team by improving and guiding the architecture • Contribute to reducing development process complexity • Work closely with Product to translate business needs into creative, elegant, incremental, and efficient solutions • Design and develop components and applications with simplicity, efficiency, maintainability, and code reusability in mind • Ensure documentation of applications and architectural decisions • Ensure observability of production applications and participate in incident resolution • Actively analyze and improve application scalability, stability, and security • Take ownership of projects end-to-end • Strong collaboration skills to remove any blockers encountered • Stay up to date with web development trends, frameworks, and best practices, and recommend improvements to enhance development processes

• Application Development: Build, launch, and support applications for field and office operations. • Offline-First Engineering: Maintain and improve applications that work reliably in low-connectivity environments using service workers, local storage, and background sync. • Support: Troubleshoot, fix bugs, and be responsive to our ticketing platform. • Collaborate: Work collaboratively and efficiently with a globally distributed cross-functional team consisting of a product manager, QA, a designer, and software engineers.

• Architect and develop the Linux startup and service management framework optimized for embedded constraints. • Design and implement robust Over-the-Air (FOTA) software update mechanisms and fail-safe recovery systems. • Develop low-level userspace applications and daemons in C/C++ that interact directly with the kernel and hardware. • Optimize system boot time and resource utilization through deep analysis of the execution chain. • Own the system lifecycle, from the first instruction in userspace to a fully operational automotive safety system. • Perform root cause analysis on complex system-level crashes, memory leaks, and race conditions within the distribution. • Collaborate on board bring-up, ensuring the distribution is tailored to the specific requirements of new EyeQ generations.