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Wayve is building an AI platform for autonomous driving using end-to-end learning from real-world experience. As a Solution Architect, you will work at the intersection of Wayve's core AI Driver technology and customer vehicle systems, defining how the software integrates with OEM and Tier 1 partner platforms.
Your responsibilities will include:
- Define and manage technical architecture for customer vehicle integrations, focusing on interfaces between Wayve software and OEM/Tier 1 systems
- Partner with Product Management to translate product requirements and customer program needs into clear technical specifications
- Convert ambiguous customer discussions into explicit ownership boundaries, interface contracts, assumptions, dependencies and technical decisions
- Work with Software Architects to assess feasibility and align customer integration needs with Wayve's core architecture
- Coordinate with Validation Engineers to define integration test requirements and ensure requirements are verifiable
- Represent Wayve in OEM and Tier 1 technical discussions, keeping internal and external teams aligned on architecture, integration plans and technical risks
- Develop software-vehicle interfaces, integration boundaries, scalable customer integrations, technical specifications and documentation
- Translate integration needs and safety assumptions into clear, testable requirements
- Identify integration complexity, technical gaps, dependencies, risks and required partner deliverables for program planning
You will work across Product, Software Architecture, Hardware, Calibrations, System Safety, Validation and Field Application Engineering teams.
REQUIREMENTS:
Must-have:
- Systems and software architecture experience in ADAS, autonomous driving, embedded software or vehicle systems, particularly at the software-vehicle interface
- Understanding of vehicle electronics and embedded systems, including ECU integration, real-time execution, timing, diagnostics and automotive technologies (CAN, Automotive Ethernet, SOME/IP, AUTOSAR)
- Experience working with automotive OEMs or Tier 1 suppliers, translating customer needs into clear technical specifications, interface contracts, ownership boundaries and validation-ready requirements
- Strong collaboration skills across product, software, hardware, safety, validation and customer-facing teams
- Ability to own ambiguous technical problems independently, identify risks and dependencies, and communicate architectural decisions clearly through documentation, diagrams and technical discussions
Nice-to-have:
- Bachelor's or master's degree in Computer Science, Electrical Engineering or related field
- Experience within an automotive Tier 1 supplier or delivering automotive OEM integration projects
- Knowledge of generative AI, large language models and transformer architectures
- Familiarity with end-to-end approaches to autonomous driving
- Hands-on experience with embedded Linux, QNX, Adaptive AUTOSAR, DDS, SOME/IP or custom automotive middleware
- Experience integrating sensors (cameras, radar, IMU, GNSS) including calibration, timestamping and synchronisation
