Engineering Manager, Runtime Platform, Robot Software

Engineering management experience (essential): a track record of leading, growing, engaging, and retaining a high-performing software/systems team — including hiring, coaching, feedback, and performance management. People management is your first priority.

Delivery through a team: experience owning a team's roadmap and shipping through others — planning, prioritization, resourcing, and accountability for quality and operational reliability.

Technical credibility: hands-on depth in what takes to architect and deliver embedded software shipped on a product to real customers. Demonstrate knowledge of high-performance, low-latency embedded software (C++) to earn the trust of senior systems engineers and own the team's technical decisions. You don't need to be the team's top individual contributor.

Performance & systems fundamentals: solid understanding of profiling, benchmarking, latency/throughput/memory-bandwidth analysis, and real-time scheduling, on embedded Linux (ideally also QNX).

IPC / middleware: a strong grasp of middleware for high-throughput real-time or robotics systems and the trade-offs across vendors and platforms.

Cross-functional leadership: the ability to set direction and deliver through influence across many stakeholder teams.

Experience in automotive, robotics, or another safety-relevant real-time domain.

Familiarity with profiling toolchains (pprof/gperftools, perf, Nsight, NVLumo) and observability stacks (OpenTelemetry, Grafana, Datadog).

Experience with NVIDIA (Orin/Thor) and/or Qualcomm compute platforms.

Experience with a micro-kernel and/or real-time OS (e.g. QNX) is a plus.

The Runtime Platform team supports Wayve's on-vehicle stack — other on-board components rely on the frameworks, performance, observability, and layers it owns. You'll lead a team whose work contributes to how Wayve scales its AI Driver to new vehicles, OEM programs, and other embodiments.

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. We operate core working hours so you can determine the schedule that works best for you and your team.