Tech Lead, Remote Assist - Robotaxi

• Take on a high-impact technical leadership role at the centre of Wayve's Robotaxi launch. • Define the end-to-end architecture that connects vehicle telemetry and intent with real-time human operator support, balancing latency, reliability, and safety constraints. • Set technical direction as a foundational team member with a clear growth path from hands-on IC to leading a small team as the programme scales.

• Have staff-level experience building and owning real-time, safety-critical systems such as AV/robotics, teleoperation, aerospace/avionics, industrial control, or medical devices. • Have strong product and customer orientation, able to connect technical performance metrics to rider experience, operational outcomes, and launch readiness. • Have proven ability to lead cross-org technical roadmaps and land work across multiple teams you don't directly manage. • Have 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. • Have strong safety-first engineering instincts including failure-mode thinking, fallback/MRM design, operational constraints/ODD enforcement, and evidence-driven decision making.

• Have direct experience with teleoperation, remote driving, or remote assistance systems, including operator UX and authority boundaries. • Be familiar with safety frameworks and processes relevant to autonomy such as functional safety concepts, safety cases, and hazard analysis. • Have 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/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 including latency budgets, reliability targets, monitoring, replay/evidence, and 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.

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. • 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.