Job Description
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.
About us
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
Wayve’s Engineering Validation team builds confidence in the autonomy systems we deliver to product and customer teams. As a Tech Lead, you will lead the design and development of test scenarios, leveraging Wayve’s unique methods for end-to-end model validation. As the industry transitions from programmatic to fully learned autonomy, this team plays a pivotal role in establishing AI trust and safety through AI-powered simulation and scenario generation that meet emerging AV industry standards.
Key Responsibilities
- Design and deliver validation scenarios to assess driving safety and overall system performance.
- Collaborate closely with Product, Architecture, Data, Simulation, and Autonomy leads to design and implement comprehensive yet efficient test strategies.
- Help grow and inspire a high-performing team of validation systems engineers.
About You
To succeed as a Tech Lead, AI Validation Systems Engineer at Wayve, you’ll bring the following skills and experience:
Essential
- Strong systems thinker who works seamlessly across functions.
- Clear, concise communicator with excellent documentation skills.
- Strong analytical skills with experience in evidence-based decision-making.
- Hands-on experience evaluating and validating complex engineered systems — whether through simulated scenario development, real-world testing, or both.
Desirable
- Background in ML, Computer Vision, Motion Planning, or Data Science.
- Experience in the Automotive or AV industries.
- Experience with SOTIF and safety validation.
- Skilled in evaluating and validating learned or adaptive behaviors.
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a 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. We operate core working hours so you can determine the schedule that works best for you and your team.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
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.
