We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Every role here, whatever the team, plugs into that.
\nAs Senior Product Lifecycle Manager, you’ll connect Wayve’s product milestones to the detailed technical plans, system-level artefacts and readiness evidence needed to deliver them. You’ll lead complex, multi-team programmes from one milestone to the next, ensuring teams work from a shared, credible plan across our Level 2 and Level 4 products.
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\nWe 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.
\nThe Talent Acquisition team plays a critical role in our success. We hire the people who build and ship our autonomous driving technology. We’re a diverse team, based across the UK, US and Japan, and we take a sourcing first, quality focused and data-driven approach, acting as true partners to the business.
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\nYou should apply if:
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\nWe 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.
\nHere's what this particular role covers.
\nOur Product Architecture & Safety team brings together data, systems thinking and engineering expertise to help answer that question. Working closely with Model Development, Behavioural Validation, Safety and Robotaxi Engineering, you’ll turn real-world driving, validation and operational data into evidence of what the Wayve AI Driver can do today,and what needs to improve next. Your work will help shape development priorities and measure progress towards a safe, reliable and scalable driverless service.
\nYou’ll take ownership of hands-on analysis, from exploring complex datasets in Python and SQL to sharing findings that guide product and engineering decisions.
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\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Every role here, whatever the team, plugs into that.
\nAs a Software Engineer on the Platform Integration team, you'll combine hands-on vehicle and bench work with production software development. Your work will directly enable safe, scalable deployment across multiple vehicle programs.
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\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future.
\nYou will be part of our ADAS team, bringing Wayve's end-to-end AI driving to production-grade advanced driver assistance, working directly with our OEM partners.
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\nAbout Wayve: Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience.
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\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. As our Release Manager , AI Models, you'll help ensure that a core part of our technology , the AI model , is released reliably, on time, and to the standard required for production.
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\nYou Should Apply If
\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Every role here, whatever the team, plugs into that.
\nVehicle Generalization makes it efficient, scalable, and predictable to deploy Wayve's autonomous driving stack across a wide range of vehicle platforms by making our core autonomy generalise as widely as possible. We work across pre- and post-training to improve how well our AI models generalise zero-shot to changes in perception,including cameras, intrinsics, field of view, lens distortion, and calibration,and embodiment, including vehicle dynamics, actuation limits, and rig geometry. We also own the Generalization Benchmark, Wayve's tool for measuring how models transfer across platforms. Our work goes into production programmes with major OEMs.
\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future.
\nAs a Machine Learning Engineer, Data Enrichment, you will tackle computer vision problems spanning road geometry, spatial relationships, road users and driving behaviour.
\nYour day-to-day:
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\nYou should apply if:
\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Every role here, whatever the team, plugs into that.
\nHere's what this particular role covers.
\nYour Day-to-Day
\nWhat You'll Be Working On
\nYou Should Apply If
\nAbout 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.
\nBenefits
\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future.
\nThe Driving Product team builds the AI driver's core behaviours, taking models from data and training through evaluation and on-road validation, then shipping them into the car on timelines measured in months, not years.
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