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5 дней назад

Engineering Manager - Robot Intelligence (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Engineering Manager - Robot Intelligence (AI) (AI/Robotics): Leading a full-stack software and machine learning team building the intelligence layer for autonomous industrial robots with an accent on physical AI foundation models, agentic harnesses, and reliable real-world deployment. Focus on translating applied research into scalable products, improving SDLC and CI/CD practices, and managing the interfaces between ML training, AI inference, and Linux-based industrial systems.

Location: Munich, Germany; hybrid work

Company

hirify.global develops autonomous industrial robotics by combining modular hardware, intelligent software, physical AI, and Robotics-as-a-Service.

What you will do

  • Lead a full-stack team of software and machine learning engineers developing the intelligence layer for autonomous robots.
  • Translate physical AI foundation models and complex robotic functionality into stable, scalable products for factory environments.
  • Set standards for code quality, automated testing, CI/CD, deployment frequency, and 24/7 system reliability.
  • Oversee the lifecycle from ML dataset curation and training through AI inference and Linux-based industrial interfaces.
  • Build an applied research and experimentation culture that connects research outcomes to product delivery.
  • Partner with Product Management, manage technical debt and architecture, and mentor engineering managers.

Requirements

  • University degree in Computer Science, Robotics, Engineering, Data Science, or a related field.
  • 3+ years of experience leading high-performing teams in complex technical environments such as robotics or industrial IoT.
  • Deep experience with AI and machine learning, including dataset curation, model training, optimization, and agentic harnesses.
  • Experience implementing agentic workflows and improving engineering velocity, deployment frequency, and system stability.
  • Strong full-stack software development experience; robotics engineering experience is advantageous.
  • Very good English skills for complex architectural discussions and stakeholder communication.

Nice to have

  • Robotics engineering experience.
  • Experience with software-defined hardware and hardware-focused product development.

Culture & Benefits

  • Work on modular, software-defined robotics and state-of-the-art AI for industrial automation.
  • Fast-growing scale-up with high ownership, flat hierarchies, open communication, and regular 360° feedback.
  • Flexible working hours, a modern office, and role-dependent work-from-home options.
  • Wellpass membership, regular team events, and professional and personal development opportunities.

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