ailinuxci cdmachine learningstartuproboticsfullstack developmentindustrial iotrobot intelligencesoftware defined hardware
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Company hidden предлагает четко очерченную руководящую роль на стыке робототехники и физического ИИ, а рост компании выглядит перспективно. Но без зарплатного диапазона сложнее оценить предложение целиком.
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Зарплата не указанаСовременные технологииПонятная зона ответственностиКомпания быстро растетПерспективная сфера
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Текст:
Hirify AI/Оригинал
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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