Tech Lead - Remote Assist, Robotaxi

Wayve; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Equity stake

Relocation support

Hybrid working

Learning & development budget

Health insurance

Dental cover

Maternity/Paternity leave

Job summary

Wayve is seeking a senior engineer to own the architecture and roadmap for Remote Assistance, spanning onboard integration, offboard services, and operator tooling. You will shape data governance, authority boundaries, fallback strategies, and safety incident learning, collaborating with autonomy, safety, infra, and product teams to deliver a cohesive, safety-focused system.

You’ll drive end-to-end design for low-latency telemetry, video streaming, and MRMs, contributing to Wayve’s evolving L4

Qualifications

• Experience building real-time, safety-critical systems in AV/robotics, teleoperation, or related domains.
• Ability to connect technical performance metrics to user experience and launch readiness.
• Experience leading cross-org roadmaps and delivering work through architecture and alignment.

Responsibilities

• Own the architecture and roadmap for Remote Assistance across onboard integration, offboard services, and operator tooling/HMI
• Define the vehicle–operator contract including data, authority bounds, fallback/MRM, and failure handling
• Lead cross-team execution across autonomy, safety, platform/infra, and product partners to deliver architecture as workstreams
• Set system-level safety and reliability targets, latency budgets, monitoring, replay/evidence, and incident learning loops
• Interface with engineering leadership and safety stakeholders to feed Remote Assistance into Wayve's L4 safety case
• Develop end-to-end Remote Assistance systems across vehicle integration, offboard services, and operator-facing components
• Ensure low-latency telemetry and video streaming with strict latency and data freshness constraints
• Design fallback and minimal risk manoeuvre (MRM) logic for safe operation
• Translate cross-organ architecture into executable workstreams across multiple teams
• Contribute to Wayve's L4 safety case with the safety organisation

Skills

Real-time systems

Safety-critical engineering

Teleoperation

Cross-team collaboration

Tools

Architecture & roadmapping

Low-latency video/telemetry

HMI design

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.

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

Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement.

More About Wayve

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

How we work — Locations & Flexible Working:

Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.

The Interview Process

• Initial call / recruiter screen (30 mins)
• Hiring manager chat (30 mins)
• Deep-Dive technical interviews (Product sense, domain and system design) (3 hours total)
• Final interview: mission & values alignment (45 minutes)

We'll always explain the format and work around your availability.

What's in it for you (Location dependent):

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partner discounts and more

A quick, honest note before you apply.

Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.

If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.