Radar Lead

Location

Sunnyvale, California, USA

Employment Type

Full time

Department

Vehicle SW Engineering

Compensation

• $314.7K – $408.1K

About the Position

At Wayve, we are building the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Every role here, whatever the team, plugs into that. Here’s what this particular role covers.

About the Role

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.

Responsibilities

• Continuously monitor and analyze 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 optimize 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.

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 the ability to evaluate the impact of sensor data and sensor characteristics on model performance.
• Effective communication skills to present complex technical topics clearly to stakeholders with different technical backgrounds.
• Experience as an effective cross-functional collaborator who works well 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.

We Offer

• Competitive salary
• 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

About the Company

🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience, developing the ability to adapt, generalize, and improve at scale. Instead of relying on hand-coded rules or pre-mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision, and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once-in-a-generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human-driven vehicles to intelligent machines.

Our ambition is to make autonomy universal. Wayve’s mapless and hardware-agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real-world learning, Wayve is taking a distinct approach, building a generalizable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

The Interview Process

Our process is clear and respectful of your time:

• Recruiter screen
• Hiring Manager interview
• Technical / Radar Domain interviews
• Deep Dive interview
• Mission & Values interview

We’ll always explain the format and work around your availability.

Diversity and Inclusion

At Wayve, we're committed to creating a diverse, fair, and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic, or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information, visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve.

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities, or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.