Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко связана с робототехникой в продакшене и работой с современными технологиями навигации, но зарплата не указана, а поездки к клиентам обязательны.
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Зарплата не указанаСовременный стекПонятные задачиПерспективная робототехникаВыезды к клиентам
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Robotics Software Engineer (Autonomous Navigation) (ROS/ROS 2, C++, Python): Maintaining and optimizing navigation software for autonomous robots deployed in factories with an accent on sensor calibration, SLAM, localization, and path planning. Focus on debugging production systems, diagnosing hardware/software interactions, and validating fixes on physical robots in customer environments.
Location: Carate Brianza (MB), Italy. Hybrid smart working is available, typically one day per week, subject to team policy. Occasional travel to customer sites is required.
Company
hirify.global develops humanoid and autonomous robotic systems for real-world industrial applications in Italy.
What you will do
Maintain, debug, and optimize existing ROS/ROS 2 C++ and Python navigation codebases.
Configure hardware, calibrate LiDAR, IMU, and camera sensors, and test physical robots.
Measure robot performance against technical specifications and tune SLAM, localization, and path planning for dynamic environments.
Troubleshoot production issues, validate fixes on deployed hardware, and provide technical support at customer sites.
Collaborate with Software, Hardware, and Customer Support teams to improve system robustness.
Requirements
Degree in Robotics, Computer Science, Automation Engineering, or a related field.
Real-world experience deploying, testing, and maintaining autonomous robot navigation systems.
Strong C++ and Python skills, with practical ROS/ROS 2 and Nav2 experience.
Ability to diagnose hardware/software interactions and troubleshoot LiDAR, RGB-D cameras, and IMUs.
Familiarity with MQTT, NATS, or WebRTC protocols.
Full professional proficiency in English, a driving licence, and willingness to travel occasionally to customer sites are required.
Nice to have
Experience with industrial robots, AMRs, AGVs, automation commissioning, or industrial tools.
Experience with Docker, Kubernetes, and CI/CD pipelines.
Experience with robotic fleet management systems.
Familiarity with AI/ML and deep or reinforcement learning applied to robotics.
Culture & Benefits
Work with deployed robotic systems and technologies intended for real-world impact.
Collaborate across software, hardware, and customer support in a hybrid environment.
Contribute to sustainability, transparency, and social benefit initiatives.
Access opportunities for professional growth and influence over technological direction.
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