Principal Remote Assistance Systems Architect (Autonomous Vehicles)

Location: London, United Kingdom. Hybrid working model with in-person collaboration in the office, remote work, core hours, and hands-on work in vehicle workshops and labs.

Company

hirify.global builds an AI platform for autonomous driving, using embodied AI and real-world learning to support vehicle automation from L2+ through L4.

What you will do

• Own the architecture and technical roadmap for Remote Assistance across onboard vehicle integration, offboard services, and operator-facing HMI.
• Define the vehicle–operator contract, including data, authority boundaries, fallback behaviour, minimal risk manoeuvres, and failure handling.
• Lead cross-team execution across autonomy, safety, platform, infrastructure, and product teams.
• Set system-level quality standards for latency, reliability, monitoring, replay, evidence, and incident-learning loops.
• Build Remote Assistance's contribution to hirify.global's L4 safety case with the safety organisation.

Requirements

• Staff-level experience building and owning real-time, safety-critical systems in autonomous vehicles, robotics, teleoperation, aerospace, avionics, industrial control, medical devices, or a comparable domain.
• Experience leading cross-organisational technical roadmaps and delivering work through teams that are not directly managed.
• Deep expertise in at least one of low-latency video or telemetry streaming, robotics or AV system integration, control systems, or human-in-the-loop system design.
• Experience with teleoperation, remote driving, or remote assistance systems, including operator UX and authority boundaries.
• Strong safety-first engineering practice, including failure-mode analysis, fallback or MRM design, operational constraint enforcement, and evidence-driven decisions.
• Ability to scale production systems from prototype to operational reliability in an ambiguous, fast-moving environment.

Nice to have

• Experience connecting technical performance metrics to customer or rider experience and launch readiness.
• Background in autonomous driving and L4 safety-case development.

Culture & Benefits

• Hybrid working with dedicated offices and focused remote-work time.
• Relocation support and visa sponsorship where applicable.
• Market-benchmarked salaries, meaningful equity, and location-dependent benefits.
• Learning and development budgets for training, conferences, and professional growth.
• Health, dental, parental leave, retirement or pension benefits, therapy access, and wellbeing discounts where applicable.

Hiring process

• Initial recruiter call and hiring manager conversation.
• Deep-dive technical interviews covering product sense, domain knowledge, and system design.
• Final mission and values alignment interview.