Wayve
Sensing Systems Engineer
About this role
Wayve seeks a Sensing Systems Engineer to own the sensor subsystem across autonomous vehicle platforms, ensuring sensor integration and performance meet requirements for reliable AI model development and safe deployment. This cross-functional role bridges robotics, hardware, vehicle software, and product teams to define sensing requirements, validate system performance, and drive data-driven vehicle readiness decisions.
What you'll do
- Define sensing performance requirements and metrics aligned with model development, on-road performance, and broader applications
- Develop and maintain clear sensing system requirements for perception and localization sensors, calibration quality, and related specifications
- Support hardware and vehicle software teams to ensure correct sensor integration into vehicle platforms
- Design and implement validation frameworks to evaluate sensing performance and establish benchmarks for vehicle bring-up
- Diagnose and resolve sensor-related issues before they impact autonomous driving behavior
- Coordinate cross-functional decisions on sensor configuration, trade-offs, and system architecture across Robotics, AV Product, Hardware, and Vehicle Software teams
What they're looking for
- Systems engineering and requirements definition
- Hands-on sensor integration (camera, LiDAR, and/or radar)
- Multi-sensor system architecture knowledge
- Sensor performance evaluation and real-world testing
- Metrics and benchmark development
- Cross-functional collaboration and stakeholder management
- Autonomous vehicles or robotics systems experience
- Data quality and machine learning integration understanding
Opens the official application on the employer’s site. No login required.
Wayve
Wayve develops autonomous driving AI technology and systems for vehicles. The company is hiring for validation engineers, systems engineers, ML engineers, integration specialists, and program managers to build and deploy autonomous driving platforms across testing, AI development, hardware integration, and production scaling.
- Website
- wayve.ai
Likely interview questions
- Describe a sensor integration project you led—what were the main challenges and how did you ensure performance met requirements?
- How have you translated high-level product or model needs into concrete, measurable sensing requirements?