Senior Forensics Engineer in London

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.

As an Autonomous Driving Forensics Engineer in our Detectives team, part of the Model Integration and Release group, you will investigate issues that arise across the full Wayve AV stack. Working closely with teams across the business, you will identify root causes efficiently, test solutions thoroughly, and provide actionable insight that improves overall AV performance. Your role sits at the heart of performance improvement, identifying systemic issues within the full end-to-end stack of our AV vehicles. To do so you will work cross-functionally, interacting with all areas of the business, from hardware and software engineers to roboticists, platform developers, model development and operational teams.

We're looking for someone curious, pragmatic, and system-minded: a broad thinker who is comfortable operating with limited information, thrives outside their comfort zone, and lets facts and data drive their conclusions. Just as important is the ability to communicate clearly and build strong working relationships across teams, bringing people with you as you work towards an answer.

Key responsibilities:

• Issue investigation & root cause analysis: Triage on-road data and conduct deep dives into recurring issues, identifying patterns across the fleet to pinpoint root causes across the robot, model, or software.
• Data analysis & communication: Analyse data and communicate insights clearly, using dashboards and/or visualisations to make complex issues easy for others to understand and act on.
• Cross-functional collaboration: Work closely with engineering, model development, operations, and safety teams, including taking rides in the vehicles, to understand issues and partner with system owners through to a resolution.
• Process & automation: Develop automated workflows and investigation playbooks that improve turnaround time and enable faster testing cycles.
• Simulation & testing: Leverage simulation and other offline tools to reproduce and debug issues, minimising the need for fleet resources.
• Breadth of work: Provide investigative and systems engineering support across a broad and evolving range of problems, from new vehicle platforms to emerging programmes and release testing, as the technology and fleet grow.
• Incident response: Investigate on-road incidents to establish what happened and why, feeding lessons back to the relevant teams and strengthening our wider safety culture.

About you

In order to set you up for success as an Autonomous Driving Forensics Engineer at Wayve, we're looking for the following skills and experience.

Essential

• 3+ years working with complex systems for robotics, autonomous vehicles, or comparable engineered systems.
• Excellent critical thinking and problem-solving skills to identify and resolve complex issues within robotics and AI systems.
• A systems-thinking mindset, comfortable investigating across the full stack, spanning hardware, software, and models.
• Prior experience designing real-world experiments to prove or disprove hypotheses.
• Great communication skills, able to explain complex technical problems to both technical and non-technical stakeholders.
• Experienced with writing Python, particularly for data analysis; confident in writing scripts for a wide variety of analytic use cases, leveraging AI tools to work more efficiently.
• A track record of influencing team and company direction through your findings.
• A safety-conscious mindset, alert to when an issue carries safety implications and comfortable raising it.

Desirable

• Practical experience applying and evaluating machine learning models.
• Experience working with safety-critical systems.
• Experience in the automotive, robotics, or AI industries.
• A track record of promoting statistical rigour and experimental best practices in your prior roles.
• Experience working in a fast-moving tech company or startup.

This is a full-time role based in our office in 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.

What we offer you

• The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving.
• Competitive compensation and benefits.
• A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too.
• A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day.
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets.

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. 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.