About the role
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career!
The Role Wayve is seeking a Sensor Systems Architect within the Product & Delivery (P&D) organisation to own the definition and integration of sensor systems as part of the end-to-end autonomy stack. This role focuses on system-level sensing
requirements and integration, ensuring that sensor configurations are optimised for driving use cases, ODD coverage, and autonomy performance across customer programs. You will work closely with Hardware teams—who lead component-level benchmarking, sensor evaluation, and base image quality—to translate system needs into production-ready sensor configurations and vehicle integration strategies. You will act as the owner of the sensor–model–performance boundary at system level, ensuring sensing is defined, integrated, and validated in the context of real-world driving behaviour, not just hardware capability. Key
Responsibilities System-driven Sensor Architecture Define sensor system
requirements from driving use cases, safety goals, and product constraints Develop end-to-end sensing concepts (modality, placement, coverage, redundancy) aligned with autonomy performance for mass production Translate system needs into quantitative KPIs (coverage, FoV, latency, detection range, etc.) Ensure alignment with Wayve’s AI architecture and overall system design Sensor Concept Co-Development Co-develop sensor system concepts with Hardware and core algorithm teams, spanning what matters AV2.0: Sensor selection and characteristics Imaging pipeline (exposure, HDR, ISP) System integration and data interfaces Contribute system-level
