Systems Engineer, Robotaxi
wayve
In this role you translate the Robotaxi reference architecture into implementable system requirements, interfaces and verification outputs. You will collaborate with OEMs, Tier 1 suppliers and operators to define boundaries and drive technical discussions. You’ll contribute to safe, scalable driver-out services—from vehicle and ADS to offboard capabilities—by applying architectures across hardware, software and fleet operations. This position offers ownership within a larger autonomous driving program and meaningful impact on real-world vehicle deployment.
Pay / Benefits- hybrid working
- learning and development budgets
- equity and long-term ownership
- relocation support and visa sponsorship
- comprehensive health benefits
- team socials and wellbeing partnerships
- Own systems engineering for defined parts of the Robotaxi architecture, translating use cases into requirements and verification-ready specs
- Lead technical working sessions with OEMs, Tier 1 suppliers and Robotaxi operators to define system boundaries
- Support implementation through technical reviews, bring-up planning, issue triage and design-change impact analysis
- Contribute to vehicle, ADS, onboard compute and offboard boundary definitions within the Robotaxi system scope
- Hands-on experience designing, integrating or deploying Robotaxi or L4 driver-out systems
- Ability to decompose use cases into functional requirements, interfaces and verification intents
- Experience defining system boundaries across organizations and working with OEMs or partners
- Practical vehicle or robotic-system integration experience with driver-out safety concepts (redundancy, degraded operation, fail-operational, SOTIF and safety-case evidence)
- Comfort owning a defined scope within a larger reference architecture and communicating designs clearly
- Clear communication of complex designs
- Cross-functional collaboration
- Problem solving and trade-off analysis
- Automotive E/E architecture, CAN, Automotive Ethernet, SOME/IP, AUTOSAR, DDS, QNX, Linux
- MBSE/SysML and Jama for requirements and architecture
- Knowledge of AI model capability, compute headroom and evidence shaping product architecture
Reference: WJ-747_31203077