Imaging Software Engineer Intern

Dolby Laboratories is a leader in entertainment innovation, offering impactful internships that provide real-world solutions in a collaborative environment. The Imaging Software Engineer Intern will work on developing and implementing cutting-edge imaging and video processing algorithms while collaborating with experienced engineers.

What you'll do:

• Contribute to the design and development of the Dolby Vision device SDK, ensuring high-performance integration across diverse home entertainment platforms such as TVs, STBs, and AVRs
• Research and develop Machine Learning-based approaches to automate perceptual image and video quality assessment
• Design and implement data pipelines and ML model training/evaluation frameworks to support automated quality benchmarks
• Utilize Python to build developer tools and automate complex engineering tasks, and support ML experimentation workflows, improving the overall efficiency of the development lifecycle
• Leverage AI-assisted coding techniques (e.g., LLM-based tools such as GitHub Copilot, Claude Code, etc.) to accelerate code development, streamline log analysis, and enhance automated testing processes
• Collaborate closely with senior software engineers to integrate new imaging features into existing projects and contribute to technical architectural discussions

What they're looking for:

• Currently enrolled or recent graduated with a MS or PhD degrees in CS, EE, or a related field. Candidates with a Bachelor's degree will be considered if they demonstrate strong, verifiable hands-on experience directly relevant to imaging and video processing
• A portfolio of projects (academic, open-source, or professional) that serves as a verifiable endorsement of your development skills in imaging or multimedia
• Self-motivated quick learner who can independently bridge the gap between theoretical algorithms and practical software implementation
• Solid understanding of Machine Learning fundamentals, with hands-on experience in model training, evaluation and deployment
• Development skills in Python, particularly for ML experimentation, automation scripts, or image/video processing pipelines
• Familiarity with image/video quality metrics or perceptual quality assessment methodologies is a significant plus
• Experience utilizing AI coding assistants or Large Language Models to solve engineering challenges or improve coding productivity is a significant plus

Benefits:

• Excellent compensation and benefits
• Flex Work approach that is truly flexible to support where, when, and how you do your best work.
• Industry leaders
• State-of-the art R&D with a culture – big enough to give you all the resources you need, and small enough so you can make a real difference.
• Mentored by our experienced senior engineers