Own systems engineering for defined parts of Wayve's Robotaxi architecture, translating use cases into requirements, interfaces, and verification-ready specifications. Work directly with OEMs, Tier 1 suppliers, and operators to define system boundaries and support implementation through technical reviews and design-change analysis. Requires hands-on experience in L4 driver-out systems, functional safety, and cross-organizational systems integration.
Key Highlights
Direct hands-on experience designing, integrating, or deploying a Robotaxi or production-intent L4 driver-out system.
Ability to translate use cases and operational concepts into functional decomposition, requirements, interfaces, and verification intent.
Experience defining system and product boundaries across organizations, including OEMs, Tier 1 suppliers, and operators.
Key Responsibilities
Own systems engineering for defined parts of the Robotaxi architecture, translating use cases, operational concepts, and constraints into requirements, interfaces, assumptions, and verification-ready specifications.
Work directly with OEMs, Tier 1 suppliers, and Robotaxi operators to define system and product boundaries, leading technical working sessions and design discussions.
Support implementation through technical reviews, bring-up planning, issue triage, and design-change impact analysis.
Apply the Robotaxi reference architecture to real vehicle programs across sensors, compute, ECU topology, vehicle interfaces, and degraded-operation behavior.
Technical Skills Required
Systems Engineering
Functional Safety
L4 Autonomous Driving Systems
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Benefits & Perks
Meaningful equity
Relocation support
Visa sponsorship
Hybrid working
Learning and development budgets
Comprehensive benefits including health insurance, dental, and enhanced parental leave
Nice to Have
Experience with 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 experience (CAN, Automotive Ethernet, SOME/IP, AUTOSAR, DDS, QNX, Linux).
Experience with requirements and architecture tools such as Jama or MBSE/SysML.
Job Description
Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.Our Product Dependability team connects Wayve’s embodied AI technology with the demands of real-world automotive products. Working across systems engineering, safety, cybersecurity and data analysis, the team helps translate AI capabilities into dependable vehicle-level behavior and supports integration with our OEM partners.
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