Systems Engineer, Robotaxi

Wayve•Sunnyvale, CA
•Hybrid

About The Position

Wayve’s Product Dependability team connects its embodied AI technology with real-world automotive product demands, working across systems engineering, safety, cybersecurity and data analysis to support dependable vehicle-level behavior and integration with OEM partners. Wayve is developing driver-out Robotaxi systems combining the AI Driver, vehicle platform, sensors and compute, safety mechanisms, Remote Assistance, fleet services and cloud operations. The Systems Engineer will work alongside the lead Robotaxi System Architect to translate the reference architecture into implementable functions, requirements, interfaces and verification-ready outputs for assigned areas. The role covers how the Robotaxi system operates as a safe, scalable driver-out service, spanning the vehicle, Automated Driving System (ADS), onboard compute, offboard capabilities and partner boundaries. Scope may include vehicle/ADS interfaces, Remote Assistance and offboard boundaries, or fleet and cloud integration. The position applies the Robotaxi reference architecture to real vehicle programs, including sensors, compute, ECU topology, vehicle interfaces and degraded-operation behavior. It involves collaboration with OEMs, Tier 1 suppliers and Robotaxi operators, as well as implementation support through technical reviews, bring-up planning, issue triage and design-change impact analysis. The role is full-time, based in Sunnyvale, California, with a hybrid working model.

Requirements

  • Direct, hands-on experience designing, integrating or deploying a Robotaxi or production-intent L4 driver-out system.
  • Systems engineering experience spanning several domains across hardware, embedded software, autonomy, safety, offboard services or operations.
  • Ability to turn use cases and operational concepts into functional decomposition, requirements, interfaces, assumptions, trade studies and verification intent, producing artifacts teams can implement and verify.
  • Experience defining system and product boundaries across organizations, working directly with OEMs, Tier 1 suppliers, operators or technology partners while maintaining clear internal ownership.
  • Practical vehicle or robotic-system integration experience.
  • 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 own a defined scope within a larger reference architecture, partner with a lead architect and communicate complex designs through documents, diagrams, requirements and technical reviews.

Nice To Haves

  • 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, including CAN, Automotive Ethernet, SOME/IP, AUTOSAR, DDS, QNX or Linux; calibration, synchronization, diagnostics and redundancy.
  • Experience with requirements and architecture tools such as Jama or MBSE/SysML.
  • Experience applying a reference architecture across multiple platforms.
  • Understanding of how AI model capability, generalization, compute headroom and evidence shape product architecture.

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, and lead technical working sessions and design discussions.
  • Support implementation through technical reviews, bring-up planning, issue triage and design-change impact analysis.
  • Escalate cross-domain or cross-program tradeoffs beyond the assigned scope to the lead architect and relevant domain owners.
  • Apply the Robotaxi reference architecture to vehicle programs spanning sensors, compute, ECU topology, vehicle interfaces and degraded-operation behavior.

Benefits

  • Salaries benchmarked against the market annually.
  • Meaningful equity, sharing in the ownership and long-term success of Wayve.
  • Relocation support and visa sponsorship where applicable.
  • Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs.
  • Learning and development budgets with support for training, conferences and growth.
  • Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships and team socials.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service