Solutions Architect

• We define and manage the technical architecture for customer vehicle integration, focusing on the interface between our software and OEM / Tier 1 vehicle systems.
• We collaborate with Product Management to translate product requirements and customer program needs into actionable technical specifications.
• We define and document integration boundaries with OEMs and Tier 1 suppliers, including what is we-owned, partner-owned, jointly defined, or out of scope.
• We translate ambiguous customer or partner discussions into explicit ownership boundaries, interface contracts, assumptions, dependencies, and open technical decisions.
• We work closely with Software Architects to assess technical feasibility and ensure customer program integration needs align with our core architecture.
• We coordinate with Validation Engineers to define integration test requirements and ensure customer program requirements are verifiable.
• We develop and maintain program-facing technical documentation, including interface specifications, integration guides, ownership boundary definitions, architecture diagrams, and decision records.
• We support customer program planning by identifying integration complexity, dependencies, technical gaps, technical risks, and required partner deliverables.
• We participate in OEM and Tier 1 technical discussions, representing our product architecture, integration approach, and technical assumptions.
• We act as a technical bridge between customer programs and our internal teams, ensuring customer-specific integration needs are clearly understood without unnecessarily fragmenting the core product architecture.

Technologies:

• AI
• Architect
• AUTOSAR
• Embedded
• Ethernet
• Flexray
• Hardware
• Support
• Linux

More:

We are Wayve, founded in 2017 and a leading developer of Embodied AI technology. Our advanced AI software and foundation models help vehicles perceive, understand, and navigate complex environments, improving the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward, with intelligent, mapless, hardware-agnostic products designed for automakers to accelerate the transition from assisted to automated driving. We thrive on big challenges, embrace uncertainty, and value diversity, inclusion, and collaboration. This is a full-time Solution Architect role based in London with a hybrid working policy that combines office and workshop time with remote work, plus core working hours to support flexibility.

• We are looking for experience defining or contributing to technical architecture for ADAS, autonomous driving, embedded software, or vehicle systems, especially at the software-vehicle interface.
• We need the ability to define clear technical boundaries, ownership models, assumptions, dependencies, and interface contracts between internal software and external vehicle systems.
• We need a good understanding of vehicle electronics, embedded software constraints, ECU integration, real-time execution, timing, diagnostics, and production vehicle software environments.
• We need knowledge of automotive communication protocols and architectures such as CAN, FlexRay, Automotive Ethernet, SOME/IP, AUTOSAR, or equivalent.
• We look for experience working with, or integrating systems for, automotive OEMs or Tier 1 suppliers, including OEM-specific requirements, standards, and integration constraints.
• We need the ability to translate product requirements and customer discussions into clear technical specifications, interface requirements, and validation-ready requirements.
• We need proven experience working across Product, Software Architecture, Hardware, Calibrations, System Safety, Validation, and customer-facing teams across unit, subsystem, and system-level discussions.
• We need strong written and verbal communication skills, including the ability to explain complex architecture topics clearly through documents, diagrams, and technical reviews.
• A bachelors or masters degree in Computer Science, Electrical Engineering, or a related field is desirable.
• Experience working as a Tier 1 supplier in the automotive industry is desirable.
• Knowledge of generative AI, LLMs, and transformer architectures is desirable.
• Familiarity with end-to-end approaches in autonomous driving is desirable.
• Experience with automotive OEM integration projects is desirable.
• Hands-on experience with embedded Linux, QNX, Adaptive AUTOSAR, DDS, SOME/IP, or custom automotive middleware is desirable.
• Experience with sensor integration, including cameras, radar, IMU, GNSS, calibration, timestamping, and synchronization is desirable.