Radar Lead

Wayve • Sunnyvale, CA

1d • Hybrid

About The Position

Wayve’s Hardware Engineering team develops and integrates the sensor and compute systems that enable its AI Driver to understand and operate in the real world. The Radar Lead is a technical expert on the hardware team, responsible for supporting the integration of high-quality radar sensor data into the driver model. The role builds and maintains expertise on automotive radar technologies, defines radar data quality guidelines, and provides domain knowledge for integration, debugging, and testing.

The Radar Lead works closely with software and model development teams to build test capabilities and enable experiments that improve how radar data is used by the AI Driver. The position is full-time and based in Wayve’s Sunnyvale office, with a hybrid working policy combining office and workshop collaboration with focused work from home.

Requirements

• 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, and angular accuracy considerations.
• Strong analytical skills and ability 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.
• Ability to collaborate effectively across hardware, software, model development, and other engineering teams.

Nice To Haves

• Basic scripting capability in Python, Bash, or similar tools.
• Experience working in ADAS or autonomous vehicle environments.

Responsibilities

• Monitor and analyse developments in automotive radar technology and signal processing, maintaining an up-to-date internal view of the competitive landscape.
• Develop and enforce guidelines for high-quality radar point clouds and sensor data, including calibration, noise reduction, resolution, and range, velocity, and angular accuracy.
• Provide radar domain expertise for integrating sensor data into the AV2.0 driver model, including debugging and ensuring data from different radar types is processed and incorporated appropriately.
• Build and enhance test frameworks to evaluate the impact of different radar inputs on model performance, including experiments involving adverse weather, occlusion, and clutter.
• Optimise data collection strategies.
• Work with software and model development teams to improve radar data processing and handling, using experimentation to identify changes that positively affect model performance.

Benefits

• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working and core hours
• Hands-on work in vehicle workshops and labs
• Learning and development budgets, with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental insurance, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, and team socials
• Salaries benchmarked against the market annually

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed