Autonomous Driving Diagnostics Engineer

OpenDigital Limited; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Hybrid work policy

Onsite chef

Nursery scheme

Private health insurance

Cycle scheme

Therapy

Yoga

Onsite bars

Social budgets

Hybrid working model and core hours

Job summary

Wayve in London is seeking an Autonomous Driving Forensics Engineer to investigate issues across the full AV stack and provide actionable insights.

You will work cross-functionally with hardware, software, model development and operations teams to identify root causes, test solutions, and improve overall AV performance. The role sits in a fast-paced, hybrid environment with a strong emphasis on collaboration and safety.

Qualifications

• 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.

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.

Skills

Robotics systems

Critical thinking

Systems thinking

Experiment design

Communication skills

Python for data analysis

Data analysis

Root cause analysis

Cross-functional collaboration

Safety awareness

Job description

Wayve in London is seeking an Autonomous Driving Forensics Engineer to investigate issues across the full AV stack and provide actionable insights.

You will work cross-functionally with hardware, software, model development and operations teams to identify root causes, test solutions, and improve overall AV performance. The role sits in a fast-paced, hybrid environment with a strong emphasis on collaboration and safety.