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.
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.