Radar Lead

Wayve • Sunnyvale, CA

2d • Hybrid

About The Position

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As the Radar Lead, you will be a key technical expert within the hardware team, responsible for supporting the integration of high-quality radar sensor data into our driver model. You will be responsible for developing and maintaining a comprehensive understanding of the competitive landscape in automotive radar technologies. You will also create radar data quality guidelines for our product offerings and provide domain expertise in integration, debugging, and testing. Working closely with cross-functional teams, you will help build out test capabilities and enable experiments in collaboration with software and model development teams.

Requirements

• Proven experience working with automotive radar technologies and their integration into software-driven systems.
• Experience in radar data quality control, including calibration, resolution, noise handling, and range/velocity/angular accuracy considerations.
• Strong communication and presentation skills.
• Team player effective at cross-functional collaboration with teams of varying technical backgrounds.
• Strong analytical skills and the ability to evaluate the impact of sensor data on model performance.
• Excellent communication and collaboration skills, with a proven ability to work effectively across teams.

Nice To Haves

• Basic scripting capabilities in python, bash, etc.
• ADAS or Autonomous Vehicle Experience.

Responsibilities

• Continuously monitor and analyze advancements in automotive radar technologies and signal processing.
• Maintain an up-to-date internal knowledge base on the competitive landscape of radar technologies to ensure our software can accommodate the latest developments.
• Develop and enforce guidelines that ensure the radar point clouds and sensor data fed into our models maintain high quality standards. This includes establishing best practices for radar calibration, noise reduction, resolution, and range/velocity accuracy.
• Provide domain expertise for integrating radar sensor data into the AV2.0 driver model.
• Offer guidance on debugging radar-related issues, ensuring that data from different radar types is appropriately processed and incorporated into the model for optimal results.
• Build and enhance test frameworks to evaluate the impact of different radar inputs on model performance.
• Work with cross-functional teams to design experiments that assess the effectiveness of radar data under varying conditions (e.g. adverse weather, occlusion, clutter) and optimize data collection strategies.
• Work closely with software and model development teams to ensure radar data is processed and utilized correctly within the driver model.
• Drive experimentation to identify and implement improvements in radar data handling that positively impact model performance.

Benefits

• hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

What This Job Offers

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