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Wayve is building an AI platform for autonomous driving that enables vehicles to learn from real-world experience. The company is developing driver-out Robotaxi systems integrating AI, vehicle platforms, sensors, compute, safety mechanisms, remote assistance, fleet services and cloud operations.
As a Systems Engineer, Robotaxi, you will own systems engineering for defined portions of the Robotaxi architecture. Your responsibilities include translating use cases, operational concepts and constraints into requirements, interfaces, assumptions and verification-ready specifications. You will work directly with OEMs, Tier 1 suppliers and Robotaxi operators to define system and product boundaries, leading technical working sessions and design discussions. You will support implementation through technical reviews, bring-up planning, issue triage and design-change impact analysis, escalating cross-domain or cross-program tradeoffs to the lead architect and relevant domain owners.
Your scope covers how the Robotaxi system operates as a safe, scalable driver-out service—from the vehicle, Automated Driving System (ADS) and onboard compute to offboard capabilities and boundaries between Wayve and partners. You will apply the Robotaxi reference architecture to real vehicle programs across sensors, compute, ECU topology, vehicle interfaces and degraded-operation behavior. Depending on your defined scope, this could include vehicle/ADS interfaces, Remote Assistance and offboard boundaries, or fleet and cloud integration.
Wayve operates a hybrid working model combining in-person collaboration in office spaces with focused remote work. The company's main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. The role is based in Sunnyvale, CA with core hours and hands-on work in vehicle workshops and labs.
REQUIREMENTS:
- Direct, hands-on experience designing, integrating or deploying a Robotaxi or production-intent L4 driver-out system, with systems engineering experience spanning several domains across hardware, embedded software, autonomy, safety, offboard services or operations.
- Ability to turn use cases and operational concepts into functional decomposition, requirements, interfaces, assumptions, trade studies and verification intent, producing artifacts that teams can implement and verify.
- Experience defining system and product boundaries across organizations, working directly with OEMs, Tier 1 suppliers, operators or technology partners while maintaining clear internal ownership.
- Practical vehicle or robotic-system integration experience and working knowledge of driver-out safety concepts, including redundancy, degraded operation, Minimum Risk Manoeuvre, fail-operational behavior, functional safety, SOTIF and safety-case evidence.
- Comfort owning a defined scope within a larger reference architecture, partnering with a lead architect and communicating complex designs clearly through documents, diagrams, requirements and technical reviews.
DESIRABLE EXPERIENCE:
- Robotaxi launch readiness and operations, including fleet services, Remote Assistance, teleoperation, depot operations, passenger systems or monitoring.
- Automotive E/E architecture, middleware and sensor/compute integration—including CAN, Automotive Ethernet, SOME/IP, AUTOSAR, DDS, QNX or Linux; calibration, synchronization, diagnostics and redundancy.
- Requirements and architecture tools such as Jama or MBSE/SysML, applying a reference architecture across multiple platforms, and understanding how AI model capability, generalization, compute headroom and evidence shape product architecture.
