Radar Lead
About The Position
Wayve's Hardware Engineering team develops and integrates the sensor and compute systems that enable our AI Driver to understand and operate in the real world. Working across hardware, sensing, software and model development, the team turns emerging sensor technologies into reliable, high-quality inputs that can be tested, understood and scaled across vehicle platforms. As the Radar Lead at Wayve, you'll be a key technical expert within the hardware team, supporting the integration of high-quality radar sensor data into our driver model. You'll build and maintain a deep understanding of the automotive radar landscape, define radar data quality guidelines, and provide domain expertise across integration, debugging and testing. Working closely with software and model development teams, you'll build test capabilities and enable experiments that improve how radar data is used by our AI Driver.
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 can evaluate the impact of sensor data and sensor characteristics on model performance.
- Communicate complex technical topics clearly and can present effectively to stakeholders with different technical backgrounds.
- An effective cross-functional collaborator who works well with 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
- Continuously monitor and analyse advancements in automotive radar technologies and signal processing, maintaining an up-to-date internal view of the competitive landscape so our software can accommodate the 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 and 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 and incorporated 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, and optimise data collection strategies.
- Work closely with software and model development teams to improve radar data processing and handling, using experimentation to identify changes that positively impact model performance.
Benefits
- Salaries benchmarked against the market annually
- Meaningful equity, sharing in the ownership and long term success of Wayve
- Relocation support and visa sponsorship where applicable
- Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
- Learning and development budgets with support for training, conferences and growth
- Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
