Wayve is developing driver-out Robotaxi systems that bring together the AI Driver, vehicle platform, sensors and compute, safety mechanisms, Remote Assistance, fleet services, and cloud operations.
We are looking for a Systems Engineer, Robotaxi to turn defined parts of this system-level vision into clear, implementable architecture. You will work closely alongside Wayve's lead Robotaxi System Architect, translating their reference architecture into functions, requirements, interfaces, decisions, and verification-ready outputs for the areas you own..
Your scope covers how the Robotaxi system works as a safe, scalable driver-out service — the vehicle, ADS, onboard compute, offboard capabilities, and the boundaries between Wayve, OEMs, Tier1s, and Robotaxi partners — and includes working directly with those partners to define architecture and product boundaries together, including leading technical discussions with them.
Own the systems engineering for defined parts of the Robotaxi architecture — for example 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 for the areas you own.
Work directly with OEM, Tier1, and Robotaxi operator partners to define system and product boundaries together, including leading technical working sessions and design discussions with them.
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 that go beyond your defined scope to the lead Robotaxi System Architect and relevant domain owners.
You are a hands-on Robotaxi systems engineer who has worked on a real Robotaxi or production-intent L4 driver-out system. You can reason across hardware, embedded software, autonomy, safety, vehicle integration, offboard services, and operations, while producing engineering artifacts that teams can implement and verify.
You are comfortable owning a defined technical scope within a larger reference architecture, working in close partnership with a lead architect, and collaborating across domain boundaries. You can engage external partners directly — defining system and product boundaries together and running technical discussions — while staying clear on internal ownership.
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, such as 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, such as an 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, including redundancy, degraded operation, Minimum Risk Manoeuvre, fail-operational behavior, functional safety, SOTIF, and safety-case evidence.
Ability to communicate complex system designs cuments, diagrams, requirements, and technical reviews.
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.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to 311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Wayve is building the next generation of autonomous driving technology. They are developing an end-to-end autonomous driving system that uses deep learning and AI to enable vehicles to navigate roads and environments.