Engineering Manager, Runtime Platform, Robot Software
On-siteLondon, England, United Kingdom
Job Summary
Lead and grow the Runtime Platform engineering team by coaching staff, managing performance, and owning hiring and onboarding. Drive execution for the application frameworks, middleware, monitoring, and observability foundations that enable Wayve's AI Driver. Set technical direction on latency, profiling, real-time scheduling, and IPC to ensure delivery, quality, and operational reliability across vehicle enablement programs. Collaborate with Vehicle Software teams, model developers, hardware, and OEMs to cascade the roadmap and resolve dependencies. Own the outcome of team technical decisions while maintaining engagement and high morale.
Required Qualifications
- Engineering management experience
- a track record of leading, growing, engaging, and retaining a high-performing software/systems team
- experience owning a team's roadmap and shipping through others
- 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++)
- solid understanding of profiling, benchmarking, latency/throughput/memory-bandwidth analysis, and real-time scheduling
- solid understanding of embedded Linux
- a strong grasp of middleware for high-throughput real-time or robotics systems
- the ability to set direction and deliver through influence across many stakeholder teams
Desired Qualifications
- 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)
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