Embedded Software Engineer

Xpert Direct; Barcelona; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A cutting-edge robotics company in Barcelona is seeking an Embedded Robotics Software Engineer to develop autonomous logistics systems. The role involves designing real-time embedded software using ROS2, collaborating on complex projects with multidisciplinary teams in a dynamic environment.

Formación

• Proven experience with ROS2 and DDS middleware in real-time embedded systems.
• Strong programming skills in C++ (14 / 17) and Python for embedded applications.
• Familiarity with SLAM, real-time sensor processing, and low-latency control loops.

Responsabilidades

• Design and implement embedded software modules for navigation, mapping, and object handling using ROS2.
• Integrate sensor fusion data for real-time localization and obstacle avoidance.
• Perform HIL testing and system validation in warehouse-like environments.

Conocimientos

Robotics

Embedded Systems

Logistics Automation

Programming in C++

Python

Sensor Processing

Herramientas

ROS2

DDS middleware

RTOS

FreeRTOS

Zephyr

Descripción del empleo

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Embedded Robotics Software Engineer – ROS2 for Intelligent Logistics Systems

Robotics | Embedded Systems | Logistics Automation

Do you thrive at the intersection of robotics, real-time embedded systems, and intelligent automation ?

We’re hiring for an innovative robotics company designing autonomous logistics and warehouse systems . As an Embedded Software Engineer, you’ll build modular, real-time software using ROS2 , powering mobile robots navigating complex, dynamic environments.

You’ll collaborate with multidisciplinary teams to fuse sensor data, integrate motion planning, and validate systems in real-world conditions.

What You’ll Do :

• Design and implement embedded software modules for navigation , mapping , and object handling using ROS2
• Integrate sensor fusion data (e.g., LIDAR , IMU , vision ) for real-time localization and obstacle avoidance
• Optimize communication pipelines between edge devices and central controllers in multi-robot environments
• Collaborate with control engineers and AI teams on motion planning and machine learning integration
• Perform HIL (hardware-in-the-loop) testing and system validation in warehouse-like environments
• Proven experience with ROS2 and DDS middleware in real-time embedded systems
• Strong programming in C++ (14 / 17) and Python for embedded applications
• Experience with microcontrollers or SoCs running embedded Linux or RTOS (e.g., FreeRTOS , Zephyr )
• Familiarity with SLAM , real-time sensor processing , and low-latency control loops
• Bonus : Knowledge of industrial communication protocols (e.g., CAN , MQTT )

Bonus Points :

• Experience with autonomous mobile robots (AMRs) , AGVs , or robotic arms in logistics
• Background in edge AI optimization (e.g., TinyML , ONNX Runtime )

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Industries Semiconductor Manufacturing

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