Robotaxi Safety Programme Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Robotaxi Safety Programme Lead (AI): Managing and scaling safety programmes for autonomous vehicle operations across multiple cities with an accent on safety management systems, regulatory compliance, and cross-functional project delivery. Focus on translating ’s safety approach into actionable execution plans while collaborating with engineering, operations, and external partners to ensure safe, scalable, and defensible deployment.
Location: Hybrid office-based role, must be based in or able to commute to London (UK) or Sunnyvale, CA (USA)
Company
is a leading developer of mapless, hardware-agnostic Embodied AI technology designed to enable autonomous driving for a smarter and safer future.
What you will do
- Own and scale safety plans and underlying artefacts for robotaxi pilots.
- Coordinate with cross-functional teams including engineering, product, and regulatory affairs to track and execute key deliverables.
- Liaise with external partners to align safety requirements with delivery roadmaps.
- Monitor, aggregate, and report on key safety performance indicators and metrics.
- Plan and execute safety programme expansions for new deployment markets.
Requirements
- Must be able to work from London, UK or Sunnyvale, USA.
- Applied experience in safety management, including policy, assurance, and risk management.
- Proven track record in fleet operations, transportation, or similar safety-critical environments.
- Strong experience in cross-functional project management and stakeholder engagement.
- Proficiency with risk management tools and evaluation techniques.
Nice to have
- Experience with Safety Management Systems (SMS) in automotive, aerospace, or transportation settings.
- Background in platform marketplace businesses such as ride-sharing or delivery.
- Familiarity with global autonomous vehicle test and deployment regulations.
Culture & Benefits
- Hybrid working policy combining office collaboration with home-based work.
- Focus on core working hours to allow for team schedule flexibility.
- Fast-paced environment working on cutting-edge Embodied AI technology.
- Commitment to a diverse, inclusive, and respectful work culture.
- Opportunity to work on high-impact projects at the forefront of autonomous mobility.
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