Quartermaster-posted 3 months ago
Washington, DC

The position involves developing, testing, and integrating modular software packages to ensure seamless communication across different system modules. The role requires designing, developing, and maintaining middleware solutions, particularly focusing on frameworks like ROS2. Additionally, the candidate will work with embedded development boards, creating drivers and interfaces for various sensors such as GPS, IMUs, cameras, and radar, ensuring smooth integration with the system. The position also includes designing and developing infrastructure to serve machine learning models in cloud environments, setting up software in production systems, and tracking the status of these systems.

  • 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.
  • 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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