Robot Software builds the on-vehicle software platform that Wayve's AI Driver runs on. The Experiment Platform team owns the systems that let researchers develop driving models on the road, including deploying models to vehicles, running experiments, and collecting training data. The team builds a portable development platform used across Wayve's fleet and on pre-production vehicles with OEM partners in Europe and Japan. The role leads a team of engineers based in London, working alongside the Runtime Platform, OS, Sensors and Platform Integration teams.
Responsibilities
Lead the Experiment Platform team's people, plans and partnerships; Hold regular 1:1s, set clear expectations, give feedback, and manage performance and promotion cycles; Help technical leads take on more scope; Work with tech leads on technical decisions, own outcomes, and respond to field issues; Maintain the team's mission, charter and twelve-month roadmap, and turn them into quarterly and six-week plans; Act as main point of contact for partner engineering teams, programme managers, operations and OEM customers; Stay technically capable, monitor architecture, and guide the team through technical blockers; Grow the platform to a product used across many vehicle types; Own model and controller download, the robot state machine, and over-the-air deployment; Make the platform self-serve for research teams; Scale data collection, including onboard and event-based logging, data quality and offload; Deploy the platform on next-generation vehicles and support new OEM integrations through configuration; Build the operating model (releases, support rota, on-call, metrics and observability); Own hiring, onboarding and team growth
Requirements
Managed software engineering teams, including hiring, coaching and performance management; Owned a platform or product that other teams or customers relied on, and shipped it to devices in the field; Hands-on experience in embedded Linux systems software (C++ or Python); Understanding of connected device fleets (vehicles, robots or IoT), including data logging and offload, over-the-air updates and observability; Comfortable leading delivery across many stakeholders, including external partners; Able to engage with other technical leaders as a technical peer; Cares about operational reliability and release quality
Nice to have
Experience with autonomous vehicles or robotics; Automotive ECUs (for example NVIDIA Jetson or DRIVE, QNX); Yocto; IPC middleware such as ROS 2 or DDS; Containerised workloads on embedded systems
Benefits
Salaries benchmarked against the market annually; Meaningful equity; Relocation support and visa sponsorship where applicable; Hybrid working, core hours and hands-on work in vehicle workshops and labs; Learning and development budgets for training, conferences and growth; Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, and team socials
Wielka Brytania · London
