Junior Robotics Engineer

Job not on LinkedIn

October 22

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Logo of Quartermaster

Quartermaster

Artificial Intelligence • Cybersecurity • Transport

Quartermaster is a company redefining maritime intelligence by providing unmatched precision and visibility in real-time to monitor the world's most remote waters. Their AI-powered SmartMast system transforms everyday vessels into a comprehensive ocean intelligence network, significantly enhancing the monitoring of maritime activities and addressing issues such as smuggling and illegal fishing. By leveraging onboard sensors and high-bandwidth satellite connectivity, Quartermaster delivers high-resolution detections and actionable insights to users, ensuring enhanced maritime awareness and decision-making.

đź“‹ Description

• Develop, test, and integrate modular software packages, ensuring seamless communication across different system modules. • Design, develop, and maintain middleware solutions, focusing on frameworks like ROS2. • Work with embedded development boards and create drivers and interfaces for various sensors (e.g., GPS, IMUs, cameras, radar), ensuring smooth integration with the system. • Design and develop infrastructure to serve machine learning models in cloud environments. • Setting up software in the production system and tracking production systems' status.

🎯 Requirements

• Bachelor’s degree in Computer Science, Robotics, Electronics, Electrical Engineering, or related field. • Preferably 1-2 years of experience developing software for robotics and AI systems. • 2+ years of strong proficiency in Python and good proficiency in C++, with experience in software development within a Linux environment. • Solid experience with robotics frameworks such as ROS/ROS2. • Experience with real-time processing and video streaming technologies. • Experience working with various sensors and hardware, including GPS, IMU, and cameras as well as developing drivers for these devices. • Experience with mobile/embedded platform development specifically NVIDIA Jetson. • Experience working with cloud platforms such as AWS, Azure, and GCP. • Familiarity with standard development tools such as git, and CI/CD pipelines. • Problem-solving and result-driven mindset. • Flexibility and resilience to work in a highly dynamic chaotic environment. • Openness to learn and explore unknown territories. • Computer Vision

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