Lead the architecture and technical roadmap for Robotaxi Remote Assistance, connecting vehicle systems, offboard services, and operator tools to enable safe, reliable, low-latency human support for autonomous driving.
Wayve jobs
Wayve is a leader in automated driving, utilizing advanced Embodied AI technology.
171 open roles at Wayve
Build and lead the Vehicle Software SRE team, setting its technical strategy and operating model while improving reliability, deployment safety, observability, and incident response across vehicle platforms.
Site Reliability Engineer, Vehicle Software
Build and operate reliability tooling for autonomous vehicle software, improving observability, incident response, and recovery while debugging production issues across Linux systems and vehicle operations.
Build and maintain full-stack fleet management software that gives engineers and operators visibility and control over autonomous vehicles, from fleet health and configuration to deployment and operational workflows.
Senior Software Engineer, Fleet Management
Own and operate full-stack fleet management systems for autonomous vehicles, building reliable deployment workflows, services, APIs and tools that improve fleet visibility and support operations at scale.
Own end-to-end supply chain execution for vehicle programmes and product builds, coordinating material readiness, procurement, suppliers and integration partners to meet build milestones and manage risk.
Own end-to-end supply chain execution for prototype, NPI, and fleet programs, coordinating material readiness, suppliers, and cross-functional teams to keep vehicle builds on schedule and manage risk.
Build and validate automation, reusable tooling, and measurable workflows that reduce manual investigation and accelerate issue identification across autonomous-vehicle test and on-road fleets.
Staff Validation Systems Engineer, AI Validation
Develop validation strategies, scenarios, metrics, and evidence for ADAS and L2 autonomy, using Python-based evaluation, simulation, data analysis, and physical testing to support safety and release decisions.
Staff Validation Systems Engineer, AI Validation
Develop validation strategies, metrics, scenarios, and evidence for L2+ driving features and new AI Driver capabilities, using Python, simulation, and data analysis to support safety and release decisions.
Establish and operate a risk-based security assurance capability, testing control design and effectiveness, tracking remediation, supporting certifications and customer assessments, and advancing continuous, data-driven validation.
Own the safety-case architecture and strategy for autonomous driving products, shaping evidence-backed safety arguments and providing independent technical oversight to inform product, release and deployment decisions.
Senior Machine Learning Engineer, Vision Models
Build and validate offline computer-vision models that measure driving performance, using large-scale vehicle and simulation data to improve scene understanding and support safety cases.
Lead global product marketing for automotive AI software, shaping positioning and value propositions, translating complex technology into customer-focused messaging, and driving awareness, demand, and pipeline growth.
Leads global marketing for AI Driver technology, shaping positioning, brand, digital, content and partner programs while building a team and driving trust, commercial adoption and measurable growth.
Lead electrical architecture and end-to-end integration of autonomous driving systems across vehicle platforms, guiding design, supplier collaboration, hands-on troubleshooting, validation and production readiness.
Use statistical analysis and experimentation on real and simulated driving data to guide engineering priorities, validate product requirements, and improve the functionality, safety, and performance of an autonomous driving system.
Manage commercial legal matters across technology, AI, data, privacy and employment, negotiating complex agreements and advising global teams on practical risk as products and operations scale internationally.
Lead automotive radar integration for an autonomous driving system by setting sensor data quality standards, guiding debugging and testing, and partnering with software and model teams to improve radar’s impact on model performance.
Lead integration and bring-up of autonomous vehicle platforms, prototyping and testing hardware-software systems while troubleshooting fleet issues and improving system reliability and integration workflows.
Machine Learning Engineer, Application Software
Lead the development and production deployment of machine-learning driving behaviours, improving autonomous driving performance through model architecture, data pipelines, evaluation, and cross-team technical leadership.
Design and deliver mechanical integration solutions for vehicle-mounted compute and sensors, taking concepts through prototyping and manufacture while owning design trade-offs, validation, build quality, and scalable installation.
Distinguished Engineer, Embedded Vehicle Software
Defines the architecture and technical direction of an embedded vehicle software stack, guiding operating-system, middleware and hardware integration for production autonomous-driving systems.
Lead and develop the OS team responsible for onboard software foundations, setting its roadmap and technical direction while delivering reliable embedded systems across vehicle and compute platforms.
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