Solutions Architect

• Support the integration of Wayve's autonomous driving technology with automotive OEM vehicle platforms. • Work at the boundary between Wayve's core AI Driver architecture and OEM/Tier 1 vehicle systems. • Translate product and customer needs into clear technical specifications, understanding both high-level system architecture and implementation details.

• Have experience defining or contributing to technical architecture for ADAS, autonomous driving, embedded software, or vehicle systems, especially at the software–vehicle interface. • Be able to define clear technical boundaries, ownership models, assumptions, dependencies, and interface contracts between internal software and external vehicle systems. • Have a good understanding of vehicle electronics, embedded software constraints, ECU integration, real-time execution, timing, diagnostics, and production vehicle software environments. • Have knowledge of automotive communication protocols and architectures such as CAN, FlexRay, Automotive Ethernet, SOME/IP, AUTOSAR, or equivalent. • Have experience working with or integrating systems for automotive OEMs or Tier 1 suppliers. • Be able to translate product requirements and customer discussions into clear technical specifications, interface requirements, and validation-ready requirements. • Have proven ability to work effectively across Product, Software Architecture, Hardware, Calibrations, System Safety, Validation, and customer-facing teams, spanning unit-level, subsystem-level, and system-level discussions. • Have strong written and verbal communication skills, including the ability to explain complex architecture topics clearly through documents, diagrams, and technical reviews.

• Hold a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. • Have experience working as a Tier 1 supplier in the automotive industry. • Have knowledge of generative AI, LLMs, and transformer architectures. • Be familiar with end-to-end approaches in autonomous driving. • Have experience with automotive OEM integration projects. • Have hands-on experience with embedded Linux, QNX, Adaptive AUTOSAR, DDS, SOME/IP, or custom automotive middleware. • Have experience with sensor integration including cameras, radar, IMU, GNSS, calibration, timestamping, and synchronisation.

• Define and manage the technical architecture for customer vehicle integration, focusing on the interface between Wayve software and OEM/Tier 1 vehicle systems. • Collaborate with Product Management to translate product requirements and customer programme needs into actionable technical specifications. • Define and document integration boundaries with OEMs and Tier 1 suppliers, including what is Wayve-owned, partner-owned, jointly defined, or out of scope. • Translate ambiguous customer or partner discussions into explicit ownership boundaries, interface contracts, assumptions, dependencies, and open technical decisions. • Work closely with Software Architects to assess technical feasibility and ensure customer programme integration needs are aligned with Wayve's core architecture. • Coordinate with Validation Engineers to define integration test requirements and ensure customer programme requirements are verifiable. • Develop and maintain programme-facing technical documentation including interface specifications, integration guides, ownership boundary definitions, architecture diagrams, and decision records. • Support customer programme planning by identifying integration complexity, dependencies, technical gaps, risks, and required partner deliverables. • Participate in OEM and Tier 1 technical discussions, representing Wayve's product architecture, integration approach, and technical assumptions. • Act as a technical bridge between customer programmes and Wayve internal teams.

Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.

• Work in a hybrid model from Wayve's London office with core working hours so you can determine the schedule that works best for you and your team. • Join a well-funded company backed by leading investors, founded in 2017 and pushing the boundaries of embodied AI. • Work in an inclusive environment that values diversity and embraces new perspectives.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Its advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Wayve's intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.