Technical Director, Safety Case (Autonomous Driving)

Location: London, United Kingdom. Hybrid working model with in-person collaboration in office spaces, remote work, and opportunities to work in vehicle workshops and labs.

Company

hirify.global is building an AI platform for autonomous driving, using an end-to-end, mapless and hardware-agnostic approach that enables vehicles to learn from real-world experience.

What you will do

• Own the safety case strategy and architecture for robotaxi and OEM ADAS products.
• Define top-level safety claims, argumentation structures, evidence strategies, and traceability from requirements through validation and deployment.
• Develop safety arguments covering functional safety, SOTIF, AI safety, cybersecurity, validation, operational safety, and post-deployment monitoring.
• Partner with Product, Systems Engineering, AI/ML, Validation, Vehicle Engineering, Software, Hardware, and Operational Safety teams.
• Identify gaps, weak assumptions, dependencies, uncertainties, and residual risks, and drive their resolution.
• Provide independent technical challenge and evidence-based recommendations to safety governance forums and senior leadership.

Requirements

• Deep experience developing or owning safety cases for complex safety-critical systems.
• Strong systems engineering background covering requirements, architecture, verification, validation, and safety assurance.
• Strong understanding of autonomous driving and AI/ML safety, including model performance, data, uncertainty, and verification limitations.
• Knowledge of ISO 26262, ISO 21448, ISO/PAS 8800, and ISO 3450x.
• Excellent technical communication, stakeholder-management, architectural thinking, and independent decision-making skills.
• Ability to challenge assumptions, assess evidence quality, and clearly identify safety red lines.

Nice to have

• Safety case experience with L2+/L3 ADAS or L4 ADS products.
• Experience with GSN or equivalent structured assurance methods.
• Safety evidence experience for end-to-end or foundation-model-based autonomous driving.
• Experience working with OEMs, regulators, assessors, or independent safety reviewers.
• Familiarity with operational and post-deployment safety monitoring.

Culture & Benefits

• Hybrid working with core hours and collaboration across international hubs.
• Relocation support and visa sponsorship where applicable.
• Market-benchmarked salaries, meaningful equity, and comprehensive health, dental, retirement, and wellbeing benefits.
• Learning and development budgets for training, conferences, and professional growth.
• Enhanced maternity and paternity leave, access to therapists, wellbeing partnerships, and team socials.

Hiring process

• Initial recruiter call lasting 30 minutes.
• Competency and hiring manager interviews, followed by presentation and technical deep-dive interviews.
• Final interview lasting 60 minutes.