Tech Lead, Autonomy Performance - Robotaxi

• Take on a high-impact technical leadership role as a key founding member at the centre of Wayve's Robotaxi launch. • Own the autonomy performance bar that determines whether the product is ready for the public and stays great release over release. • Define "performance" for an end-to-end learned driving system where traditional AV playbooks don't translate cleanly, with visibility and influence across the teams shaping the stack.

• Have demonstrated cross-functional engineering leadership, having led complex delivery across multiple teams and stakeholders to achieve production outcomes without relying on direct line management. • Have strong product and customer orientation, able to connect technical performance metrics to rider experience, operational outcomes, and launch readiness. • Have strong autonomy/robotics performance debugging experience, including deep hands-on work with real-world issues and time-series/real-time signals. • Have strong technical foundations in learned systems/ML-driven robotics, able to reason about model behaviour, failure modes, and measurement pitfalls in data-driven autonomy stacks. • Have production fluency in Python, C++, and SQL, with the ability to work directly in code and analytics pipelines to diagnose problems and validate improvements.

• Have experience owning or co-owning releases to a fleet of robots/vehicles in production, including defining release processes, gates, rollback plans, and regression handling. • Be familiar with modern data/observability stacks used in autonomy programmes such as Databricks/SQL, Grafana, internal eval/sim tooling, and dashboarding/reporting. • Have a track record of building scalable triage systems and performance programmes including metrics taxonomy, prioritisation frameworks, and quality bars in safety- or mission-critical environments.

• Own and evolve the autonomy performance measurement framework for Robotaxi including driving and pick-up/drop-off, covering metrics, dashboards, and narrative used by leadership 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 ensure fixes land 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 often without direct reporting authority. • Define and enforce performance release gates and regression detection for production deployments, owning readiness calls, post-release monitoring, and follow-through on incidents and regressions. • Be hands-on in the data and code when needed using Python, C++, and SQL to accelerate debugging, validate hypotheses, and unblock delivery.

Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.

• Work in a hybrid model from Wayve's London office. • Join a well-funded company backed by leading investors, founded in 2017 and pushing the boundaries of embodied AI. • Work in an inclusive environment that values diversity and embraces new perspectives.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Its advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Wayve's intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.