Senior Forensics Engineer

Job description

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. 🛠️ About our Forensics Team Wayve’s Forensics team sits within the Model Integration and Release group and works at the heart of autonomous-driving performance improvement. We investigate systemic issues across the full end-to-end AV stack—from hardware and software to AI models—and turn our findings into improvements in vehicle safety and performance. You’ll collaborate across the business with hardware and software engineers, roboticists, model developers, platform teams, operations, and safety specialists. As part of a newly re-formed team, you’ll also help shape our investigative processes, playbooks, and tooling as Wayve’s technology and global fleet continue to grow.⁠ 🧠 Your day-to-day - Lead investigations arising from triage escalations, model alerts, on-road incidents, and ad-hoc requests, driving each problem through to its root cause. - Analyse on-road data, logs, and offline simulations to reproduce issues, identify fleet-wide patterns, and test hypotheses. - Build queries, plots, dashboards, and automated workflows that accelerate investigations and monitor known issues. - Work with the teams that own each system to confirm root causes, validate fixes, and stay engaged through resolution. - Communicate findings clearly to technical and non-technical stakeholders through concise written reports, visualisations, and presentations. - Support release testing and the bring-up of new vehicle platforms when investigative or systems-engineering input is needed. 🧩 What you’ll be working on - Investigating complex issues across a rapidly growing global vehicle fleet and seeing your findings directly improve AV safety and performance. - Identifying systemic problems spanning the robot, software, and AI models across Wayve’s complete autonomous-driving stack. - Using simulation and offline tools to reproduce and debug issues while minimising the need for fleet resources. - Investigating on-road incidents to establish what happened and why, feeding lessons back into engineering teams and Wayve’s wider safety culture. - Supporting the introduction of new vehicle platforms developed with leading OEMs. - Building the processes, playbooks, training, and automation that will define how this growing team operates. 🙌 You should apply if - You have at least three years of experience working with complex systems in robotics, autonomous vehicles, or a comparable engineering environment. - 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 have experience designing real-world experiments to prove or disprove hypotheses. - 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. - You bring a safety-conscious mindset and are comfortable identifying, escalating, and investigating issues with potential safety implications. - 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 vehic