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Staff Engineer, Remote Assistance Architecture

wayve • United Kingdom
Visa Sponsorship Relocation
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Own the end-to-end architecture and technical roadmap for Wayve's Remote Assistance system, bridging onboard vehicle autonomy with offboard services and operator tooling. Define system-level quality bars for safety-critical operations, including latency budgets, reliability targets, and failure handling logic. Lead cross-team execution to integrate Remote Assistance into Wayve's evolving L4 safety case and operational reliability.

Key Highlights
Staff-level role owning the architecture for real-time, safety-critical Remote Assistance systems in autonomous vehicles.
Responsible for low-latency telemetry/video streaming, fallback/MRM design, and the vehicle-operator contract.
Requires deep expertise in AV/robotics, teleoperation, or comparable safety-critical domains with cross-org leadership experience.
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 covering data, authority bounds, fallback/MRM behaviour, and failure handling.
Lead cross-team execution across autonomy, safety, platform/infra, and product partners to turn architecture into deliverable workstreams.
Set system-level quality bars for safety-critical RA operation, including latency budgets, reliability targets, monitoring, 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.
Technical Skills Required
Low-latency video/telemetry streaming Robotics/AV system integration Human-in-the-loop system design
Benefits & Perks
Meaningful equity
Relocation support and visa sponsorship where applicable
Hybrid working with core hours
Learning and development budgets
Comprehensive benefits including health insurance, dental, and enhanced parental leave

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.Here’s what this particular role covers.
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