Tech Lead, Remote Assist — Robotaxi

• Own the architecture and technical roadmap for Remote Assistance at the centre of Wayve's Robotaxi launch — connecting vehicle telemetry and intent with real-time human operator support. • Define the vehicle-to-operator "contract" covering data, authority bounds, fallback behaviour, and failure handling. • Lead cross-team execution across autonomy, safety, platform/infra, and product partners, turning architecture into deliverable workstreams. • A foundational team member with a unique opportunity to set technical direction and a clear growth path from hands-on IC to leading a small team as the programme scales. • Hybrid role based at Wayve's London office.

• Staff-level experience building and owning real-time, safety-critical systems — such as AV/robotics, teleoperation, aerospace/avionics, industrial control, or 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 without direct management authority. • 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.

• Direct experience with teleoperation, remote driving, or remote assistance systems, including operator UX and authority boundaries. • Familiarity with safety frameworks and processes relevant to autonomy, such as functional safety concepts, safety cases, and hazard analysis. • Experience scaling production systems in ambiguous, fast-moving environments from prototype to operational reliability.

• Own the architecture and technical roadmap for Remote Assistance across onboard integration, offboard services, and operator tooling and HMI. • Define and drive the vehicle-to-operator "contract" covering 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, and incident learning loops — for safety-critical Remote Assistance operation. • Act as the technical interface to engineering leadership and safety stakeholders, shaping how Remote Assistance feeds into the evolving L4 safety case.

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 at the very centre of Wayve's Robotaxi launch on one of the most technically complex and impactful problems in autonomous driving. • Clear growth path from hands-on IC to leading a small team as the programme scales. • Hybrid working policy combining in-office collaboration with home working flexibility.

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