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Salary: USD 314,700 - 408,100 / annual
Wayve is building an AI platform for autonomous driving using an end-to-end learning approach. The company develops embodied intelligence that enables vehicles to learn from real-world experience and adapt across different environments and OEM partners.
As Radar Lead, you will be a key technical expert within Wayve's Hardware Engineering team, responsible for integrating high-quality radar sensor data into the AI Driver model. You'll own the radar domain expertise across the organization, working at the intersection of hardware, sensing, software, and model development.
Your responsibilities will include:
• Continuously monitor and analyze advancements in automotive radar technologies and signal processing, maintaining an internal competitive landscape view so software can accommodate latest developments.
• Develop and enforce guidelines for high-quality radar point clouds and sensor data, including best practices for calibration, noise reduction, resolution, and range/velocity/angular accuracy.
• Provide radar domain expertise for integrating sensor data into the AV2.0 driver model, supporting debugging and ensuring data from different radar types is processed appropriately.
• Build and enhance test frameworks to evaluate the impact of different radar inputs on model performance, including experiments across adverse weather, occlusion, and clutter scenarios.
• Work closely with software and model development teams to improve radar data processing and handling, using experimentation to identify performance-positive changes.
You'll operate in a hybrid model combining in-person collaboration at the Sunnyvale office with focused remote work time. The role involves hands-on work in vehicle workshops and labs alongside cross-functional collaboration with hardware, software, and model development teams.
Wayve operates across multiple hubs (London, Sunnyvale, Yokohama, Herzliya, Vancouver, Leonberg) and is not a fully-structured organization—much of how the company works is still being written, requiring people who want real ownership.
REQUIREMENTS:
Must-have:
• Proven experience working with automotive radar technologies and integrating them into software-driven systems
• Strong experience in radar data quality control, including calibration, resolution, noise handling, and range/velocity/angular accuracy considerations
• Strong analytical skills to evaluate the impact of sensor data and sensor characteristics on model performance
• Ability to communicate complex technical topics clearly and present effectively to stakeholders with different technical backgrounds
• Effective cross-functional collaboration skills with hardware, software, model development, and other engineering teams
Nice-to-have:
• Basic scripting capability in Python, Bash, or similar tools
• Experience working in ADAS or autonomous vehicle environments
