Member of Technical Staff

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7ulzv3

- Role: Member of Technical Staff - Robotics Lab (Remote)
- Location: Remote (Work from Anywhere)

Role Overview:

We are hiring for one of our clients, seeking a Member of Technical Staff (Robotics Lab) to work on a full-time basis. The role involves designing, developing, and deploying robotics systems with a focus on scalable autonomy and real-time control. Candidates will collaborate with cross-functional teams to integrate hardware and software solutions for next-generation robotic platforms.

Key Responsibilities:

• Design and implement control algorithms for robotic systems, including kinematics, dynamics, and path planning.

• Develop and maintain software for robot perception, localization, and mapping using sensor fusion techniques.

• Collaborate with hardware engineers to integrate sensors, actuators, and embedded systems into functional robotic prototypes.

• Optimize robotic performance for efficiency, reliability, and safety in dynamic environments.

• Document technical specifications, test results, and deployment procedures for internal and external stakeholders.





Required Skills & Qualifications:

• Proficiency in robotics frameworks such as ROS, ROS 2, or similar platforms.

• Strong programming skills in C++, Python, or other relevant languages for robotics applications.

• Experience with real-time control systems, embedded software, and hardware-in-the-loop testing.

• Knowledge of computer vision, SLAM (Simultaneous Localization and Mapping), or sensor fusion techniques.

• Familiarity with simulation tools like Gazebo, CoppeliaSim, or NVIDIA Isaac Sim is required.

• Experience with robotic operating systems, middleware, and communication protocols (e.g., CAN, Ethernet, UDP).

• Ability to design and analyze algorithms for motion planning, obstacle avoidance, and task execution.

• Experience with version control systems such as Git and collaborative software development workflows.

• Understanding of machine learning techniques for robotics

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7ulzv3