Tech Lead - Remote Assist, Robotaxi
Wayve
- Location
- London, United Kingdom
- Level
- Senior
- Category
- Engineering
- Posted
- Oct 4, 2026 (17 days ago)
About the job
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.
🛠️ About our Robotaxi Teams
The Robotaxi team is building the capabilities that take Wayve's AI Driver from assisted to fully driver-out operation. Remote Assistance sits at the heart of this effort, the real-time bridge between the vehicle's autonomy stack and human operators that lets us safely handle the moments the AI Driver can't resolve alone. This team owns the end-to-end architecture connecting onboard vehicle systems, offboard services, and operator tooling, balancing latency, reliability, and safety at every step.
🧠 Your day-to-day
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" - 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
Set system-level quality bars for safety-critical RA operation - latency budgets, reliability targets, monitoring, replay/evidence, and incident learning loops
Act as the technical interface to engineering leadership and safety stakeholders, shaping how Remote Assistance feeds into Wayve's evolving L4 safety case
🧩 What you'll be working on:
The end-to-end Remote Assistance system onboard vehicle integration, offboard services, and the operator-facing HMI, designed to evolve as one connected system
Low-latency telemetry and video streaming between vehicle and operator, with hard constraints on glass-to-glass latency and data freshness
Fallback and minimal risk manoeuvre (MRM) design — the failure-handling logic that keeps operation safe when things don't go to plan
Decomposing a cross-org architecture into concrete workstreams, some delivered directly and others placed on autonomy, safety, infra, and platform teams' roadmaps
Building Remote Assistance's contribution to Wayve's L4 safety case, working closely with the safety organisation
👤 You should apply if:
You have staff-level experience building and owning real-time, safety-critical systems in AV/robotics, teleoperation, aerospace/avionics, industrial control, medical devices, or a comparable domain
You bring a strong product and customer orientation, and can connect technical performance metrics to rider experience and launch readiness
You've led cross-org technical roadmaps and landed work across multiple teams you didn't directly manage through architecture, alignment, and execution
You 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
You have strong safety-first engineering instincts, failure-mode thinking, fallback/MRM design, operational constraint enforcement, and evidence-driven decision making
You have direct experience with teleoperation, remote driving, or remote assistance systems, including operator UX and authority boundaries
You're comfortable scaling production systems in ambiguous, fast-moving environments, from prototype through to operational reliability
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This is a preview. The full description is on Wayve's careers page, linked from the Apply button.