Solution Architect

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Product Architecture and Safety Teams Our Product Architecture and Safety team brings Wayve’s AI Driver into real-world automotive products, connecting our core autonomous driving technology with the vehicle platforms of our OEM and Tier 1 partners. As a Solution Architect, you’ll work at the boundary between Wayve’s core AI Driver architecture and customer vehicle systems. You’ll help define how our software integrates with sensors, vehicle signals, middleware and electronic control units (ECUs), accounting for timing, diagnostics, safety assumptions, data logging and validation. Working across Product, Software Architecture, Hardware, Calibrations, System Safety, Validation and Field Application Engineering, you’ll help deliver safe, efficient and consistent integrations while preserving a scalable core product architecture. 🧠 Your day-to-day Define and manage the technical architecture for customer vehicle integrations, focusing on the interfaces between Wayve software and OEM or Tier 1 systems. Partner with Product Management to translate product requirements and customer program needs into clear, actionable technical specifications. Turn ambiguous customer discussions into explicit ownership boundaries, interface contracts, assumptions, dependencies and open 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 teams and external partners aligned on architecture, integration plans and technical risks. 🧩 What you’ll be working on Software–vehicle interfaces: Define how Wayve’s AI Driver connects with vehicle platforms, including sensors, signals, middleware, ECU constraints, real-time execution, diagnostics and data logging. Integration boundaries and ownership: Establish what is Wayve-owned, partner-owned, jointly defined or out of scope, making responsibilities and dependencies clear across each customer program. Scalable customer integrations: Address customer-specific needs without unnecessarily fragmenting Wayve’s core product architecture. Technical specifications and documentation: Develop interface specifications, integration guides, architecture diagrams, ownership boundary definitions and decision records. Validation-ready architecture: Translate integration needs and safety assumptions into clear requirements that can be tested and verified. Program planning and risk management: Identify integration complexity, technical gaps, dependencies, risks and required partner deliverables to support realistic planning and informed decisions. 🙌 You should apply if You have systems and software architecture experience in ADAS, autonomous driving, embedded software or vehicle systems, particularly at the software–vehicle interface. You understand vehicle electronics and embedded systems , including ECU integration, real-time execution, timing, diagnostics and automotive technologies such as CAN, Automotive Ethernet, SOME/IP or AUTOSAR. You’ve worked with automotive OEMs or Tier 1 suppliers , translating customer needs into clear technical specifications, interface contracts, ownership boundaries and validation-ready requirements. You collaborate effectively across product, software, hardware, safety, validation and customer-facing teams , aligning technical decisions from individual components through to complete vehicle systems. You’re comfortable owning ambiguous technical problems independently , identifying risks and dependencies, and communicating architectural decisions clearly through documentation, diagrams and technical discussions. It would also be great if you bring: A bachelor’s or master’s degree in Computer Science, Electrical Engineering or a related field. Experience working 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 such as cameras, radar, IMU and GNSS , including calibration, timestamping and synchronisation. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by in