System Architect - Robotaxi

About Us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware‑agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast‑paced environment big problems ignite us— we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

We are looking for a System Architect – Robotaxi to help shape how Wayve AI Driver is deployed across advanced autonomous driving and robotaxi systems. This role requires a strong understanding of ADAS / autonomous driving system architecture across vehicle platforms, sensors, compute, safety, and application layers, together with the ability to translate that into clear product and integration architecture. You will help define how Wayve AI Driver integrates into OEM and robotaxi platforms in both hardware and software while working closely with internal architecture leaders and external partners to ensure a coherent, deployable system.

• Define system architecture for deploying Wayve AI Driver in robotaxi platforms and applications.
• Translate robotaxi use cases, operational concepts, and deployment constraints into clear product, system, and integration requirements.
• Define how Wayve AI Driver fits into robotaxi systems across compute, sensors, vehicle interfaces, safety mechanisms, and application‑layer integration.
• Identify where robotaxi‑specific requirements should drive changes or additions in Wayve’s product architecture, integration strategy, and roadmap.
• Work closely with internal architecture teams across AI, systems, safety, compute, sensors, and platform to maintain a coherent overall architecture.
• Partner with OEMs, Tier1s, and robotaxi ecosystem partners on integration concepts, technical scope, architectural trade‑offs, and deployment readiness.
• Support architecture through implementation, including integration planning, technical reviews, bring‑up, issue triage, and system‑level debugging.
• Communicate clearly across internal and external stakeholders, driving alignment on architecture, interfaces, assumptions, and key technical decisions.

You are a strong systems thinker who can reason across robotics or autonomous driving systems without losing sight of practical implementation. You understand how complex products come together across hardware, software, ML, safety, and vehicle integration, and can turn that understanding into crisp architecture and actionable decisions. You are comfortable working across domain boundaries, aligning different internal architecture owners, and representing technical architecture clearly to external partners.

You combine architectural judgment with hands‑on technical depth and strong communication.

• Strong experience in system architecture, systems engineering, or solution architecture for autonomous driving, robotics, or complex embedded systems.
• Strong understanding of system architecture across sensors, compute, embedded software, vehicle integration, and safety.
• Experience defining product or integration architecture for complex, cross‑functional systems.
• Ability to translate high‑level product or deployment goals into concrete architectural requirements and trade‑offs.
• Experience working across multiple technical domains and aligning different engineering stakeholders.
• Experience working with OEMs, Tier1s, or external technical partners.
• Strong written and verbal communication skills.
• Hands‑on enough to support technical problem‑solving, bring‑up discussions, and integration trade‑offs in practice.

• Experience with robotaxi, L4, or eyes‑off autonomous systems.
• Experience with AI or ML‑based driving systems.
• Exper…