About the role
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our 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. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career!
The role This is a high-impact technical leadership role at the centre of Wayve’s Robotaxi launch. You’ll define the end-to-end architecture that connects vehicle telemetry and intent with real-time human operator support, balancing latency, reliability, and safety constraints. As a foundational team member in this domain, you will have a unique opportunity to set technical direction. We are specifically looking for product-oriented engineers who are adept at converting deep technical decisions into impactful product features. This role offers a clear and attractive growth path from a hands-on IC to leading a small team as the program scales. Key
responsibilities: Own the architecture and technical roadmap for Remote Assistance across onboard integration, offboard services, and operator tooling/HMI Define and drive the vehicle ↔ operator “contract” (data, authority bounds, fallback/MRM behaviour, and failure handling) Lead cross-team execution across autonomy, safety, platform/infra, and product partners, turning architecture into deliverable workstreams Establish system-level quality bars (latency budgets, reliability targets, monitoring, replay/evidence, incident learning loops) for safety-critical RA operation Act as the technical interface to engineering leadership and safety stakeholders, shaping how RA feeds into the evolving L4 safety case About you In order to set you up for success as a Tech Lead, within the robotaxi team here at Wayve, we’re looking for the following skills and experience. Essential Staff-level experience building and owning real-time, safety-critical systems (e.g., AV/robotics, teleoperation, aerospace/avionics, industrial control, medical devices) Strong product and customer orientation; able to connect technical performance metrics to rider experience, operational outcomes, and launch readiness Proven ability to lead cross-org technical roadmaps and land work across multiple teams you don’t directly manage (architecture, alignment, execution) Deep hands-on expertise in at least one of: low-latency video/telemetry streaming, robotics/AV system integration, control systems, or human-in-the-loop system design Strong safety-first engineering instincts: failure-mode thinking, fallback/MRM design, operational constraints/ODD enforcement, and evidence-driven decision making Desirable Direct experience with teleoperation / remote driving / remote assistance systems, including operator UX and authority boundaries Familiarity with safety frameworks and processes relevant to autonomy (e.g., functional safety concepts, safety cases, hazard analysis) Experience scaling production systems in ambiguous, fast-moving environments (from prototype to operational reliability) This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the
