Location
London office, with hybrid working model combining in-person collaboration and remote work.

Hours
Full time, flexible working hours with core hours and hybrid working arrangements.

Salary
Negotiable, benchmarked annually against the market.

About the Role
Wayve is building the embodied intelligence that moves real vehicles safely and the ecosystem a billion machines will run on in the future. The Robot Software Engineering teams develop the on-vehicle software platform powering Wayve’s AI Driver. The Experiment Platform team owns the systems enabling researchers to develop driving models on the road by deploying models to vehicles, running experiments, and collecting data to train the next model. This includes a portable development platform connecting to partner vehicles, supporting data collection, experiment control, telemetry, and over-the-air updates. The platform is used across Wayve’s fleet and pre-production vehicles with OEM partners in Europe and Japan, playing a central role in adapting the AI Driver to new vehicles.

As Engineering Manager, you will lead a team of engineers based in London, collaborating closely with Runtime Platform, OS, Sensors, and Platform Integration teams. Your responsibilities include managing people, plans, and partnerships; conducting regular 1:1s; setting clear expectations; providing feedback; overseeing performance and promotion cycles; and supporting technical leads to expand their scope. You will work with tech leads on technical decisions, own outcomes, and ensure the team responds effectively to field issues.

You will maintain the team’s mission, charter, and roadmap, translating them into quarterly and six-week plans to keep delivery on track. Acting as the main point of contact for partner engineering teams, programme managers, operations, and OEM customers, you will clarify team ownership. Staying technically capable, you will monitor architecture, guide through technical blockers, and engage with other technical leaders.

Key focus areas include:
- Growing the platform from its first stable release to a product used across multiple vehicle types with predictable releases and validation.
- Managing experiment control and fleet orchestration, including model and controller downloads, robot state machine, and over-the-air deployments.
- Enabling self-serve experimentation so research teams can run experiments independently.
- Scaling data collection with onboard and event-based logging, data quality, and data offload.
- Supporting new vehicles and OEM integrations through configuration rather than new releases.
- Building the operating model around the platform including releases, support rota, on-call, metrics, and observability.
- Leading hiring, onboarding, and growing the team as platform adoption expands.

Wayve is pioneering an end-to-end AI approach for autonomous driving, enabling vehicles to learn from real-world experience and adapt at scale. The company’s mapless, hardware-agnostic AI platform integrates with global OEM partners to unlock advanced automation levels from L2+ through L4. Wayve offers a dynamic, evolving work environment where you will have real ownership and the opportunity to help shape how the company works.

Experience
- Proven experience managing software engineering teams, including hiring, coaching, and performance management.
- Ownership of a platform or product relied upon by other teams or customers, with experience shipping to devices in the field.
- Hands-on technical experience with embedded Linux systems software (C++ or Python), with ability to review code, guide architecture, and resolve technical blockers.
- Understanding of connected device fleets such as vehicles, robots, or IoT, including data logging and offload, over-the-air updates, and observability.
- Comfortable leading delivery across multiple stakeholders including external partners and engaging with technical leaders as a peer.
- Strong focus on operational reliability and release quality.
- Desirable experience includes autonomous vehicles or robotics, automotive ECUs (e.g. NVIDIA Jetson or DRIVE, QNX), Yocto, IPC middleware such as ROS 2 or DDS, or containerised workloads on embedded systems.

About you
- Passionate about autonomy and keen to learn.
- Motivated to work in a fast-evolving environment where processes and structures are still being developed.
- Strong leadership skills with the ability to support and grow a technical team.
- Collaborative and able to communicate effectively with diverse stakeholders.
- Committed to fostering an inclusive, diverse, and respectful culture.

Qualifications
No specific formal qualifications are required; a positive attitude, technical capability, and leadership experience are essential.