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Tech Lead - Autonomy Performance, Robotaxi
Wayve · London, United Kingdom
Publicada em 10/10/2026
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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 TeamsThe Robotaxi team is taking Wayve's AI Driver to its first public-scale deployment, with fare-paying riders on global ride-hail platforms. This team owns the end-to-end performance operating system for the product: the metrics, triage, and release gates that decide whether the autonomy is good enough to ship, and stays great release over release. For an end-to-end learned driving system, there's no existing playbook to follow: this team is defining what "performance" means from scratch.🧠 Your day-to-dayOwn and evolve the autonomy performance measurement framework for Robotaxi (driving + pick-up/drop-off): the metrics, dashboards, and narrative leadership uses to make ship/no-ship decisionsBuild and run the end-to-end performance improvement loop: detect issues, triage and prioritise, drive root-cause investigations, and land fixes across model, robot software, backend, and evaluation toolingLead cross-functional execution across AV core, evaluation/validation, robotics, robot software, triage/systems, and SRE, aligning roadmaps to performance outcomes without direct reporting authorityDefine and enforce performance release gates and regression detection for production deployments, owning readiness calls and incident follow-throughStay hands-on in the data and code when needed (Python/C++/SQL) to accelerate debugging and unblock delivery🧩 What you'll be working on:Standing up Robotaxi's performance operating system from scratch: metrics, triage funnel, release gates, and rollback plans for an end-to-end learned driving system with no existing playbook to copyExternal-facing performance reporting that's trusted and repeatabl
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