Principal Safety Case Engineer (Autonomous Driving)

Location: London, United Kingdom, or Sunnyvale, California, USA

Company

hirify.global develops embodied AI software and foundation models for mapless, hardware-agnostic automated driving systems.

What you will do

• Own the safety case strategy and architecture for robotaxi and OEM ADAS products.
• Define top-level safety claims, argument 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.
• Independently challenge safety cases, identify gaps and residual risks, and provide recommendations to governance forums and senior leadership.
• Coach engineering and product leaders on safety argumentation, evidence quality, and traceability.

Requirements

• Deep experience developing or owning safety cases for complex safety-critical systems, ideally in autonomous vehicles, ADAS, robotics, aerospace, defence, or another software-intensive domain.
• Strong systems engineering experience across requirements, architecture, verification, validation, and safety assurance.
• Experience translating complex technical evidence into structured safety claims and arguments.
• 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 and stakeholder management skills.

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 with OEMs, regulators, assessors, or independent safety reviewers.
• Familiarity with operational and post-deployment safety monitoring.

Culture & Benefits

• Inclusive, diverse, fair, and respectful working environment.
• Support for interview accommodations and adjustments.
• Independent safety oversight with close collaboration across Engineering and Product.
• Opportunity to shape safety assurance for AI-enabled autonomous driving products.

Hiring process

• hirify.global provides an inclusive interview experience and can arrange accommodations or adjustments when required.
• US candidates must review the E-Verify Notice and Participation and Right to Work information.