Senior Machine Learning Engineer
San Francisco · Hybrid·$173K – $277K·Full-time
about 14 hours
Location requirements
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.
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!
Wayve’s Engineering Validation team ensures our autonomy systems are safe, reliable, and ready for the real world. As a Systems Engineer – Validation, you will lead the design and execution of system-level validation strategies that build confidence in Wayve’s end-to-end learned driving models.
You’ll collaborate across Autonomy, Product, Simulation, and Hardware teams to design validation frameworks and test scenarios that meaningfully assess system safety, performance, and scalability. This role is central to establishing trust in next-generation AI driving systems as the industry transitions from hand-coded autonomy to learned, adaptive behaviours.
Define and deliver validation frameworks that assess driving safety, system performance, and robustness.
Develop and manage test scenarios using real-world and simulated data to evaluate end-to-end system behaviour.
Partner with Autonomy, Product, and Architecture teams to ensure validation aligns with functional requirements and deployment readiness.
Lead technical deep-dives into system failures, identifying root causes and driving corrective actions.
Contribute to and uphold industry standards in AI trust, safety, and validation (including SOTIF, ISO 21448, and emerging ML validation practices).
Mentor and guide engineers within the validation function, fostering cross-functional systems thinking.
About You
You are a systems thinker with deep technical curiosity and a track record of validating complex, adaptive systems. You understand how to break down and evaluate an autonomy stack, from perception to planning — and design rigorous validation strategies that build trust in AI-driven decision-making.
Proven experience in validation or verification of complex systems, ideally in robotics, autonomy, or automotive domains.
Strong systems engineering mindset: Able to decompose and assess full-system behaviour.
Skilled at designing and analysing simulation-based and real-world validation scenarios.
Excellent communicator with the ability to align diverse technical teams around a shared validation strategy.
Evidence-based decision maker with strong analytical and documentation skills.
Experience with machine learning validation, adaptive systems, or AI model performance evaluation.
Familiarity with functional safety and SOTIF frameworks.
Background in autonomous vehicles, automotive systems, or advanced robotics.
Proficiency in data-driven scenario design or simulation tools.
This is a full-time role based in our office in Sunnyvale - or London. 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.
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