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Lead and define the embedded vehicle software architecture, build prototypes, optimize system performance and reliability, mentor senior engineers, and represent Wayve with OEMs and silicon partners to deliver scalable, safety-focused production systems.

The System Architect will define and integrate sensor systems for automated driving, focusing on system-level requirements, validation, and vehicle architecture designs.

As an Embedded Software Test Engineer at Wayve, you'll validate onboard software systems through automated testing, working on embedded platforms, debugging issues, and enhancing test coverage.

The Machine Learning Engineer role at Wayve focuses on leading initiatives in model-based autonomous driving, involving the development and delivery of ML-driven behaviors, collaboration across teams, and mentoring other engineers.

As an Applied Scientist, you'll develop AI systems for autonomous driving, focusing on machine learning, simulation, and robotics innovations. Responsibilities include world modeling, reinforcement learning, spatial intelligence, and cross-embodiment robotics, collaborating within a research team to push advancements in embodied AI.