Lead the technical architecture for integrating Wayve's AI Driver into OEM and Tier 1 vehicle platforms. Define software-vehicle interfaces, ownership boundaries, and technical specifications to ensure safe and scalable deployment. Requires deep expertise in ADAS, embedded automotive systems, and experience collaborating with automotive partners.
Key Highlights
Bridge the gap between core AI Driver architecture and customer vehicle systems
Define interface contracts and ownership boundaries between Wayve and OEM/Tier 1 partners
Ensure integration requirements are verifiable and aligned with system safety assumptions
Key Responsibilities
Define and manage the technical architecture for customer vehicle integrations, focusing on interfaces between Wayve software and OEM or Tier 1 systems.
Translate product requirements and customer program needs into clear, actionable technical specifications.
Establish explicit ownership boundaries, interface contracts, assumptions, and dependencies for customer discussions.
Collaborate with Software Architects to align customer integration needs with Wayve’s core architecture.
Coordinate with Validation Engineers to define and verify integration test requirements.
Represent Wayve in technical discussions with OEM and Tier 1 partners to align on architecture and risk management.
Develop interface specifications, integration guides, architecture diagrams, and decision records.
Technical Skills Required
Embedded Software Architecture
ADAS
Vehicle Systems
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Benefits & Perks
Market-benchmarked salaries
Equity
Relocation support
Visa sponsorship
Hybrid working
Health insurance
Dental insurance
Enhanced maternity and paternity leave
Retirement or pension
Learning and development budgets
Nice to Have
Bachelor’s or master’s degree in Computer Science, Electrical Engineering or a related field
Experience working within an automotive Tier 1 supplier
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
Job Description
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.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.
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