Build and refine software tools that support imaging and video‑processing workflows for internal teams and external partners. Develop and extend test automation frameworks to validate SDK functionality and ensure reliable video‑processing performance. Implement and improve low‑level software modules in Embedded C and C++, with emphasis on efficiency and smooth hardware‑software interaction. Use Python to build internal tools, automate engineering tasks, and enhance development efficiency. Collaborate with senior engineers to integrate new imaging features and contribute to architectural discussions. Explore opportunities to use AI‑ and LLM‑based techniques to support code development, log analysis, and automated testing. Working towards a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field; recent grads who are within 6 months of graduation are also eligible to apply. Currently enrolled in a degree program in Computer Science, Electrical Engineering, or a related field, with interest in imaging, video, or signal processing. A portfolio of academic, personal, open‑source, or professional projects that demonstrates your development experience. Ability to learn new concepts effectively and apply them to real‑world software challenges. Experience with C and C++ fundamentals, including system‑level programming, memory management, and data structures. Experience using Python for automation, tool development, or data processing is helpful. Familiarity with embedded systems or hardware‑software interaction is a plus. Familiarity with AI coding assistants or LLM‑based engineering workflows is a plus. We understand that applying to internships can feel overwhelming—especially for candidates new to the field or without prior industry experience. We encourage you to share relevant coursework, projects, volunteer work, and extracurricular experiences.