Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Radar Lead
🛠️ About our Hardware Engineering Team
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.
🧠 Your day-to-day
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.
🧩 What you’ll be working on:
• 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.
🙌 You should apply if:
• You have proven experience working with automotive radar technologies and integrating them into software-driven systems.
• You have strong experience in radar data quality control, including calibration, resolution, noise handling, and range, velocity and angular accuracy considerations.
• You have strong analytical skills and can evaluate the impact of sensor data and sensor characteristics on model performance.
• You communicate complex technical topics clearly and can present effectively to stakeholders with different technical backgrounds.
• You are an effective cross-functional collaborator who works well with hardware, software, model development and other engineering teams.
Nice to have
• You have basic scripting capability in Python, Bash or similar tools.
• You have experience working in ADAS or autonomous vehicle environments.
Pay Transparency Disclosure
If based in Wayve's Sunnyvale office, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact and scope of role), market demands and specific work location. The listed range is a guideline and may be modified. For roles available to be filled remotely, the pay range is localised according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
Annual Base Salary Range: $314,700 - $408,100 USD
This is a full-time role based in our office in Sunnyvale. At Wayve, we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with focused time working from home.
🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.
More about Wayve:
🚀 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, generalise 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 generalisable 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.
How we work 💻- Locations & Flexible Working:
Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.
🔍 The Interview Process:
Our process is clear and respectful of your time:
We’ll always explain the format and work around your availability.
What’s in it for you (Location dependant):
💰 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
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
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.