Systems Engineer, Robotaxi

Wayve•Sunnyvale, CA

7d•$209,700 - $311,400•Hybrid

About The Position

Wayve is developing driver-out Robotaxi systems that integrate the AI Driver, vehicle platform, sensors, compute, safety mechanisms, Remote Assistance, fleet services, and cloud operations. This role involves translating system-level vision into clear, implementable architecture, working closely with the lead Robotaxi System Architect. The scope includes the Robotaxi system's safety, scalability, and operational boundaries with partners, and requires defining architecture and product boundaries with external partners.

Requirements

Direct, hands-on experience designing, integrating, or deploying a Robotaxi or production-intent L4 driver-out autonomous system.
Systems engineering experience spanning several parts of the system (e.g., vehicle platform, sensors, compute, embedded software, ADS, safety mechanisms, Remote Assistance/offboard services, fleet/cloud systems, or operations).
Experience converting use cases and operational concepts into functional decomposition, system requirements, interfaces, assumptions, trade studies, and verification intent.
Experience defining system and product boundaries across multiple companies or organizations (e.g., autonomy developer, OEM, Tier1, operator, or technology partner).
Practical vehicle or robotic-system integration experience, including architecture reviews, bring-up, issue triage, debugging, or design-change impact analysis.
Working knowledge of driver-out safety concepts (e.g., redundancy, degraded operation, Minimum Risk Manoeuvre, fail-operational behavior, functional safety, SOTIF, and safety-case evidence).
Ability to communicate complex system designs through documents, diagrams, requirements, and technical reviews.

Nice To Haves

Robotaxi launch readiness, fleet operations, Remote Assistance, teleoperation interfaces, depot operations, rider/passenger systems, or operational monitoring.
Production automotive E/E architecture, CAN, Automotive Ethernet, SOME/IP, AUTOSAR, DDS, QNX, Linux, diagnostics, time synchronization, or data logging.
Sensor and compute architecture involving cameras, radar, LiDAR, IMU/GNSS, calibration, timestamping, primary/secondary compute, or redundancy.
Requirements and architecture tooling such as Jama, MBSE/SysML, interface-control documents, decision records, and traceability systems.
Experience applying one reference architecture across more than one vehicle platform, OEM, or deployment model.
Familiarity with AI/ML-based driving systems and the implications of model capability, generalization, compute headroom, and evidence for product architecture.

Responsibilities

Own the systems engineering for defined parts of the Robotaxi architecture (e.g., vehicle/ADS interfaces, Remote Assistance/offboard boundaries, or fleet/cloud integration).
Translate use cases, operational concepts, and constraints into system requirements, interfaces, assumptions, and verification-ready specifications.
Work directly with OEM, Tier1, and Robotaxi operator partners to define system and product boundaries, leading technical working sessions and design discussions.
Apply the Robotaxi reference architecture to real vehicle programs across sensors, compute, ECU topology, vehicle interfaces, and degraded-operation behavior.
Support implementation through technical reviews, bring-up planning, issue triage, and design-change impact analysis.
Escalate cross-domain or cross-program trade-offs to the lead Robotaxi System Architect and relevant domain owners.