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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.

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 by aligning sensor architecture with production constraints early
• Support sensor bring-up, integration validation, and program readiness

• Strong experience defining sensor systems at system level, beyond component selection, including integration into production vehicle architectures
• Proven track record of:
• Translating driving use cases sensor system concepts validated system performance
• Driving architectural decisions through data, measurement, and real-world validation
• Experience working across:
• System architecture
• AI / perception performance
• Vehicle integration and product constraints
• Solid understanding of:
• Camera systems (sensor, exposure, HDR, ISP pipelines, calibration, image artefacts)
• Radar and/or LiDAR fundamentals
• Experience collaborating across hardware and software domains to co-develop system-level technical concepts
• Ability to reason across:
• End-to-end autonomy performance
• Safety (ISO 26262 / SOTIF)
• Production constraints (cost, power, packaging, scalability)
• Strong communication skills, with the ability to align and influence cross-functional teams and OEM/Tier1 stakeholders through evidence-based decisions

• Experience leading or contributing to sensor system architecture in production ADAS/AV programs
• Experience working with ML-based perception systems and understanding their implications on sensing
• Familiarity with fleet data analysis, simulation, and replay-based validation workflows
• Experience in OEM or Tier1 co-development environments, including system-level trade-offs and integration constraints
• Experience in camera or sensing system development across Dev Production transitions
• Programming experience for data analysis, prototyping, or validation tooling

This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $252,500 to $298,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.