Tech Lead, Autonomy Performance - Robotaxi

Full-time

Wayve

About Us
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our 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.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
The role
This is a high-impact technical leadership role and a key founding member position at the centre of Wayve’s Robotaxi launch, providing a unique opportunity to set direction and definition for the autonomy performance function.
We are specifically looking for product-oriented engineers who will own the autonomy performance bar that determines whether the product is ready for the public and stays great release over release. You’ll turn messy real-world driving signals into trusted metrics, a prioritised funnel of issues, and cross-team execution that lands measurable improvements in production.
This is an opportunity to 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. This is primarily hands-on IC, with a clear growth path and expectation to transition into leading a small team as the Robotaxi program scales.
Key Responsibilities
Own and evolve the autonomy performance measurement framework for Robotaxi (driving + pick-up / drop-off), including the 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—often without direct reporting authority—aligning roadmaps to performance outcomes
Define and enforce performance release gates and regression detection for production deployments; own readiness calls, post-release monitoring, and follow-through on incidents/regressions
Be hands-on in the data and code when needed (Python/C++/SQL) to accelerate debugging, validate hypotheses, and unblock delivery
About you
In order to set you up for success as a Tech Lead within the robotaxi team here at Wayve, we’re looking for the following skills and experience.
Essential
Demonstrated cross-functional engineering leadership: you’ve led complex delivery across multiple teams and stakeholders to achieve production outcomes (without relying on direct line management)
Strong product and customer orientation; able to connect technical performance metrics to rider experience, operational outcomes, and launch readiness
Strong autonomy/robotics performance debugging experience, including deep hands-on work with real-world issues and time-series / real-time signals (not just managing a queue)
Strong technical foundations in learned systems / ML-driven robotics: you can reason about model behaviour, failure modes, and measurement pitfalls in data-driven autonomy stacks
Production fluency in Python, C++ and SQL, with the ability to work directly in code and analytics pipelines to diagnose problems and validate improvements
Desirable
Experience owning or co-owning releases to a fleet of robots/vehicles in production, including defining release processes, gates, rollback plans, and regression handling
Familiarity with modern data/observability stacks used in autonomy programs (e.g., Databricks/SQL, Grafana, internal eval/sim tooling, dashboarding/reporting)
Track record of building scalable triage systems and performance programs (metrics taxonomy, prioritisation frameworks, quality bars) in safety- or mission-critical environments
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

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