Engineering Manager, Runtime Platform, Robot Software

Overview

In this role you lead the Runtime Platform team, owning delivery, roadmap, and performance. You’ll coach and grow engineers, shape hiring, and set technical direction for latency, profiling, real-time scheduling, and middleware. You guide system design, IPC/middleware, and observability to ensure reliable on-vehicle AI software. You’ll collaborate with cross-functional partners and drive impact across Wayve’s AI Driver stack. This role offers hands-on leadership in a fast-moving, safety-critical domain with meaningful scale.

Pay / Benefits

• hybrid working policy
• office in London
• core working hours

Responsibilities

• Lead, grow, and performance-manage the team, conducting regular feedback and supporting career development
• Own hiring, onboarding, and shaping team culture and ways of working
• Drive execution by aligning roadmap with resources, prioritizing work, and ensuring quality and reliability
• Set and communicate the technical direction and milestones for the team’s technology roadmap
• Oversee runtime foundations: system design, middleware/IPC, performance optimization, and observability
• Enable new vehicle platform support with minimal performance impact
• Maintain strong CI, hardware-in-the-loop (HIL), and quality gates for rapid iteration
• Collaborate with Vehicle Software, model developers, hardware, and OEM programs; escalate and mitigate risks

Key requirements

• Engineering management experience: leading and retaining a high-performing software/systems team
• Delivery through a team: roadmap ownership, planning, resourcing, and accountability
• Technical credibility in embedded software for products delivered to customers
• Experience with high-performance, low-latency embedded software (C++)
• Understanding of profiling, benchmarking, latency/throughput/memory analyses, and real-time scheduling on embedded Linux (incl. QNX)

• Cross-functional leadership
• Influence without authority
• Proactive risk and dependency management
• Embedded software engineering (C++)
• Real-time systems and scheduling
• IPC/middleware design for high-throughput robotics

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