Forensics Engineer (Autonomous Driving)

Location: London, United Kingdom; hybrid working model with in-person collaboration in office spaces and remote work. The role may involve hands-on work in vehicle workshops and labs.

Company

hirify.global is building an end-to-end AI platform for autonomous driving that enables vehicles to learn from real-world experience and improve across different vehicle platforms.

What you will do

• Lead investigations from triage escalations, model alerts, on-road incidents, and ad-hoc requests through to 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 to accelerate investigations and monitor known issues.
• Collaborate with hardware, software, robotics, model, platform, operations, and safety teams to validate fixes and drive issues through resolution.
• Communicate findings through written reports, visualisations, and presentations for technical and non-technical stakeholders.
• Support release testing, new vehicle-platform bring-up, and the development of investigative processes, playbooks, training, and automation.

Requirements

• At least three years of experience working with complex systems in robotics, autonomous vehicles, or a comparable engineering environment.
• Systems-thinking approach with the ability to investigate ambiguous technical problems and follow evidence to root cause.
• Experience investigating across hardware, software, data, and AI-model stacks.
• Experience designing real-world experiments to prove or disprove hypotheses.
• Confident Python use for data analysis and scripting across analytical use cases.
• Clear technical communication, cross-functional collaboration, and a safety-conscious approach to identifying and escalating potential safety issues.

Nice to have

• Experience with machine-learning models, safety-critical systems, autonomous vehicles, robotics, automotive engineering, or fast-moving technology companies.
• Experience using AI tools to improve analytical workflows.

Culture & Benefits

• Hybrid working with core hours and focused remote-work time.
• Relocation support and visa sponsorship where applicable.
• Market-benchmarked salaries and meaningful equity.
• Learning and development budgets for training, conferences, and growth.
• Health insurance, dental coverage, enhanced parental leave, retirement or pension benefits where applicable, therapy access, wellbeing partnerships, and team socials.
• Opportunity to help establish processes and operating practices in a newly re-formed team.

Hiring process

• Initial 30-minute recruiter screen.
• 30-minute competency interview with the hiring manager, covering background and systems experience.
• Technical interviews covering data investigation and root-cause analysis, followed by a final 60-minute mission and values interview.