Senior Forensics Engineer

Wayve is a London-headquartered embodied-AI company developing and licensing mapless, vehicle-agnostic driving software for assisted, automated, and robotaxi applications.

London, United Kingdom
About Wayve

Wayve Technologies Ltd. develops the Wayve AI Driver, an end-to-end, data-trained software platform that runs on onboard vehicle compute and native sensors. It is designed for OEM integration across L1 driver assistance through L4 automated driving, without HD maps.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will investigate issues across the autonomous-vehicle stack, analyse on-road data, identify root causes, and communicate actionable findings. You will develop investigation workflows, use simulation to reproduce issues, support release testing, and investigate incidents to strengthen safety.

Requirements

  • 3+ years working with complex robotics autonomous-vehicle or comparable engineered systems
  • Critical thinking and problem-solving skills
  • Systems-thinking across hardware software and models
  • Experience designing real-world experiments to test hypotheses
  • Ability to communicate complex technical problems to technical and non-technical stakeholders
  • Python for data analysis and analytical scripting
  • Ability to influence direction through findings
  • Safety-conscious mindset
  • Machine learning model evaluation
  • Safety-critical systems
  • Automotive robotics or AI industry experience
  • Statistical rigour and experimental best practices
  • Experience in a fast-moving technology company or startup

Responsibilities

  • Triage on-road data and investigate recurring issues
  • Identify fleet-wide patterns and root causes across robots models and software
  • Analyse data and communicate insights through dashboards and visualisations
  • Partner with engineering model development operations and safety stakeholders to resolve issues
  • Develop automated workflows and investigation playbooks
  • Use simulation and offline tools to reproduce and debug issues
  • Support systems engineering across vehicle platforms programmes and release testing
  • Investigate on-road incidents and feed lessons back to relevant stakeholders

Benefits

  • Onsite chef
  • Workplace nursery scheme
  • Private health insurance
  • Cycle scheme
  • Therapy
  • Yoga
  • Two onsite bars
  • Large social budgets
  • Hybrid working
  • Core working hours