System Architect - Sensors

Wayve Wayve · Robotics · Sunnyvale, CA · Product & Delivery

System Architect role focused on defining and integrating sensor systems for an embodied AI technology company developing autonomous driving systems. The role bridges the gap between hardware sensor capabilities and the AI/ML models that use the data, ensuring optimal performance for driving use cases and mass production.

What you'd actually do

  1. Define sensor system requirements from driving use cases, safety goals, and product constraints
  2. Develop end-to-end sensing concepts (modality, placement, coverage, redundancy) aligned with autonomy performance for mass production
  3. Translate system needs into quantitative KPIs (coverage, FoV, latency, detection range, etc.)
  4. Ensure alignment with Wayve’s AI architecture and overall system design
  5. Act as technical owner of sensor system architecture in OEM programs

Skills

Required

  • Strong experience defining sensor systems at system level, beyond component selection, including integration into production vehicle architectures
  • Proven track record of defining sensor system requirements from driving use cases, safety goals, and product constraints
  • Experience working across hardware and software domains to co-develop system-level technical concepts
  • Solid understanding of sensor modalities (camera, lidar, radar, IMU, GPS)
  • Ability to reason across system-level trade-offs and integration constraints
  • Strong communication skills, with the ability to align and influence cross-functional teams and OEM/Tier1 stakeholders through evidence-based decisions

Nice to have

  • 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

What the JD emphasized

  • 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

Other signals

  • Definition and integration of sensor systems for end-to-end autonomy stack
  • Sensor configurations optimized for driving use cases, ODD coverage, and autonomy performance
  • Owner of the sensor–model–performance boundary at system level
  • Translate system needs into quantitative KPIs
  • Ensure alignment with Wayve’s AI architecture and overall system design