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3 часа назад

Engineering Manager, Runtime Platform, Robot Software (Embodied AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Engineering Manager, Runtime Platform, Robot Software (Embodied AI): Leading a team building the application frameworks, middleware, performance, monitoring, and observability foundations for Wayve's real-time on-vehicle AI Driver, with an accent on people leadership, delivery, and embedded systems direction. Focus on profiling, low-latency C++ software, real-time scheduling, IPC middleware, and enabling new vehicle platforms with robust CI and hardware-in-the-loop quality gates.

Location: London, United Kingdom. Full-time hybrid role based in the London office, combining office and workshop time with work from home.

Company

hirify.global develops embodied AI software and foundation models for automated driving, enabling vehicles to perceive, understand, and navigate complex environments.

What you will do

  • Lead, coach, develop, and retain a high-performing Runtime Platform engineering team.
  • Own hiring, onboarding, team structure, engagement, performance management, and career growth.
  • Drive roadmap execution through planning, prioritization, resourcing, quality, and operational reliability.
  • Set technical direction for system design, application frameworks, middleware and IPC, performance, optimization, monitoring, and observability.
  • Guide runtime foundations for on-vehicle software and enable new vehicle platforms with minimal performance degradation.
  • Collaborate with Vehicle Software, model development, hardware, and OEM program teams while resolving risks and dependencies.

Requirements

  • Experience leading, hiring, coaching, and managing performance for a high-performing software or systems engineering team.
  • Experience owning a team roadmap and delivering software through planning, prioritization, resourcing, and accountability.
  • Hands-on technical depth architecting and delivering embedded software shipped to real customers.
  • Strong knowledge of high-performance, low-latency embedded software in C++.
  • Understanding of profiling, benchmarking, latency, throughput, memory-bandwidth analysis, and real-time scheduling on embedded Linux; QNX is beneficial.
  • Strong understanding of high-throughput real-time or robotics middleware and the ability to lead through cross-functional influence.

Nice to have

  • Experience in automotive, robotics, or another safety-relevant real-time domain.
  • Familiarity with profiling tools such as pprof/gperftools, perf, Nsight, or NVLumo.
  • Experience with OpenTelemetry, Grafana, Datadog, NVIDIA Orin/Thor, Qualcomm platforms, microkernels, or QNX.

Culture & Benefits

  • Hybrid working policy combining office, workshop, and home working.
  • Core working hours with flexibility to determine a suitable schedule.
  • Inclusive, diverse, and respectful working environment.
  • Interview accommodations are available when required.

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