System Architect - Robotaxi
- 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.
- 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
- Experience with functional safety, SOTIF, or fail-operational system concepts
- Familiarity with automotive middleware, QNX, Linux, and embedded platform integration
- Experience with remote assistance, teleoperation, HMI, or robotaxi application-layer integration
- Experience bridging internal product architecture and external deployment or customer integration
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