Systems Engineer, Robotaxi

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.

• 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