About the job
About the Role
Step into an exciting internship where your contributions will ensure that advanced systems remain operational, reliable, and prepared for action. In this role, you will manage computer infrastructure and ensure our systems run seamlessly. Your responsibilities will include drafting and reviewing technical documentation, as well as remotely controlling and automating lab equipment. A key aspect of your role will involve optimizing our deployment architecture, ensuring all components function properly, preparing system images, and validating them on designated test machines. You will work with real data from field radar deployments, assisting in data annotation and gradually transitioning into small machine learning tasks as your skills develop. As you show your impact, you'll be entrusted with more significant development tasks primarily in Python, and subsequently in C++, broadening your technical expertise across our systems.
About Destinus
At Destinus, we are transforming the defense industry through innovative Unmanned Aerial Vehicles (UAVs). Our cutting-edge technologies are tailored to meet the distinctive needs of modern defense operations, delivering unmatched speed, precision, and cost efficiency. Destinus collaborates with government agencies and defense organizations globally to offer advanced solutions for mission-critical operations, ushering in a new era of operational efficiency and technological excellence. Join us in redefining the future of defense through pioneering aerospace advancements.
Your Responsibilities
- Assist in data annotation using actual recordings from radar field deployments, ensuring labels align with internal standards.
- Review and validate annotated datasets to uphold quality and consistency, reporting any anomalies or unclear instances to senior engineers.
- Support in cleaning, organizing, and preparing datasets for machine learning experiments and internal evaluations.
- Document data workflows, annotation procedures, and technical insights to enhance team knowledge sharing.
- Contribute to minor scripting tasks in Python to automate repetitive data handling and validation processes.
- Collaborate with engineers to deepen your understanding of radar systems and the impact of annotated data on overall system performance.
- Gradually engage in small-scale ML-related tasks as you become more familiar with the system and tools.
- Learn and contribute to development efforts under guidance, establishing a foundation in Python and eventually gaining exposure to C++ as you advance.
