Engineering Manager, Experiment Platform, Robot Software

Job description

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. 🛠️ About our Engineering Teams Robot Software builds the on-vehicle software platform that Wayve’s AI Driver runs on. Within it, the Experiment Platform team owns the systems that let our researchers develop driving models on the road: deploying models to vehicles, running experiments, and collecting the data that trains the next model. The team builds a portable development platform that connects to partner vehicles and brings Wayve’s model development capabilities to them, including data collection, experiment control, telemetry and over-the-air updates. It is used across our own fleet and on pre-production vehicles with OEM partners in Europe and Japan, and is central to how Wayve adapts its AI Driver to new vehicles. You will lead a team of engineers based in London, working alongside the Runtime Platform, OS, Sensors and Platform Integration teams in Robot Software. 🧠 Your day-to-day You will lead the team’s people, plans and partnerships. Most of your time goes to your engineers: regular 1:1s, clear expectations, feedback, performance and promotion cycles, and helping technical leads take on more scope. You will work with your tech leads on technical decisions, own the outcomes, and make sure the team responds well when issues come up in the field. You will maintain the team’s mission, charter and twelve-month roadmap, turn them into quarterly and six-week plans, and keep delivery on track. You will be the team’s main point of contact for partner engineering teams, programme managers, operations and OEM customers, and you will make it clear what the team owns. You will stay technically capable and aware of the team’s work across the codebase. You will monitor the architecture, guide the team through technical blockers when needed, and engage with technical leaders in other teams at a technical level. 🧩 What you’ll be working on: Growing the platform: Take the development platform from its first stable release to a product used across many vehicle types, with predictable releases and validation in CI and on HIL benches. Experiment control and fleet orchestration: Own model and controller download, the robot state machine, and over-the-air deployment of software, configuration and calibration. Self-serve experimentation: Make the platform self-serve, so research teams can run their own experiments on vehicles without waiting for platform changes. Scaling data collection: Onboard and event-based logging, data quality, and data offload over New vehicles and OEM integrations: Deploy the full platform on Wayve’s next-generation vehicles, and support new OEM integrations through configuration rather than new releases. Building the operating model around the platform: Releases, support rota, on-call, metrics and observability. Building the team: Own hiring and onboarding, and grow the team as adoption of the platform expands. 🙌 You should apply if: You have managed software engineering teams, including hiring, coaching and performance management. You have owned a platform or product that other teams or customers relied on, and shipped it to devices in the field. You are technically capable, with hands-on experience in embedded Linux systems software (C++ or Python), and stay close enough to the code to review your team’s work, guide architecture and help resolve technical blockers. You understand connected device fleets, such as vehicles, robots or IoT, including data logging and offload, over-the-air updates and observability. You are comfortable leading delivery across many stakeholders, including external partners, and can engage with other technical leaders as a technical peer. You care about operational reliability and release quality. Experience with autonomous vehicles or robotics, automotive ECUs (for example NVIDIA Jetson or DRIVE, QNX), Yocto, IPC middleware such as ROS 2 or DDS, or containerised workloads on embedded systems is desirable. 🌱 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. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances