Tech Lead - Autonomy Performance, Robotaxi

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 Teams

The 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-day

• Own 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 decisions

• Build 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 tooling

• Lead cross-functional execution across AV core, evaluation/validation, robotics, robot software, triage/systems, and SRE, aligning roadmaps to performance outcomes without direct reporting authority

• Define and enforce performance release gates and regression detection for production deployments, owning readiness calls and incident follow-through

• Stay 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 copy

• External-facing performance reporting that's trusted and repeatable enough to share directly with partners like Uber

• Integrating new model features and architectures from core engineering into live Robotaxi operations

• The stack underneath it all: WayveCode (Python + C++), Looker, Databricks/SQL, Grafana, and internal evaluation and sim tooling

• In your first 90 days: mapping the top prioritised fixes across backend, robot, and driving model, and shipping a new driving model deployment and robot software release end-to-end

👤 You should apply if:

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