Wayve Senior Forensics Engineer leads investigations into autonomous vehicle system issues to improve safety and performance. Analyzes data and collaborates with cross-functional teams to identify root causes and validate fixes.
Responsibilities
Lead investigations from triage escalations, model alerts, on-road incidents, and ad-hoc requests
Analyze on-road data, logs, and offline simulations to reproduce issues and identify patterns
Build queries, plots, dashboards, and automated workflows to accelerate investigations
Work with system teams to confirm root causes and validate fixes
Communicate findings to technical and non-technical stakeholders
Support release testing and new vehicle platform bring-up
Qualification
You’re a curiousExperience with machine-learning modelsMore about WayveOur main hubs are in London
Required
You’re a curious, pragmatic systems thinker who enjoys getting hands-on with ambiguous technical problems and following the evidence to a root cause.
You can investigate across a broad technical stack spanning hardware, software, data, and models.
You’re confident using Python for data analysis and can write scripts for a range of analytical use cases, using AI tools where appropriate to work more effectively.
You communicate complex technical findings clearly to both technical and non-technical audiences.
You collaborate effectively across teams and have used your findings to influence technical decisions or wider organisational direction.
Experience with machine-learning models, safety-critical systems, autonomous vehicles, robotics, automotive engineering, or fast-moving technology companies would be particularly valuable, but it isn’t essential.
🌱 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.
