wayve - Tech Lead - Autonomy Performance, Robotaxi

• 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: • You've demonstrated cross-functional engineering leadership, steering complex delivery across multiple teams and stakeholders to production outcomes, without relying on direct line management • You bring a strong product and customer orientation, and can connect technical performance metrics to rider experience, operational outcomes, and launch readiness • You have strong autonomy/robotics performance debugging experience, including deep hands-on work with real-world issues and time-series/real-time signals, rather than just managing a queue • You have strong technical foundations in learned systems/ML-driven robotics, and can reason about model behaviour, failure modes, and measurement pitfalls in data-driven autonomy stacks • You're production-fluent in Python, C++, and SQL, comfortable working directly in code and analytics pipelines to diagnose problems and validate improvements • You have experience owning or co-owning releases to a fleet of robots/vehicles in production, including release processes, gates, rollback plans, and regression handling • You're familiar with modern data/observability stacks used in autonomy programs (e.g. Databricks/SQL, Grafana, internal eval/sim tooling) • 🌱 Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement.