System Architect - Sensors

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 requirements while leveraging HW expertise in benchmarking and component evaluation

• Ensure a seamless link between:

  • Component capabilities (HW)

  • System performance and behaviour

Sensor Integration & Vehicle Architecture

• Define sensor layout, placement, and integration strategies for production vehicle platforms

• Translate system concepts into vehicle-ready solutions (mounting, placement, synchronisation, calibration)

• Ensure integration decisions preserve perception performance and remain consistent from development to production

System-level Validation & Performance Closure

• Validate sensor system performance using:

  • Fleet data

  • Simulation / replay

  • Program-specific validation

• Establish clear linkage between:

  • Sensor system design → system KPIs

• Identify and resolve gaps between expected and observed system performance

OEM Program Architecture Leadership

• Act as technical owner of sensor system architecture in OEM programs

• Co-design solutions with OEMs and Tier1s, balancing:

  • System performance

  • Vehicle constraints

  • Cost and scalability

• Drive data-backed architectural decisions across stakeholders

Productisation & Development Vehicle Platform Consistency

• Ensure sensor systems are designed for seamless transition from development to production, including:

  • Consistent data characteristics

  • Stable installation and calibration assumptions

• Avoid late-stage rework