Dolby Careers Imaging Software Engineer Intern

Join the leader in entertainment innovation and help us design the future. At Dolby science meets art and high tech means more than computer code. As a member of the Dolby team youll see and hear the results of your work everywhere from movie theaters to smartphones. We continue to revolutionize how people create deliver and enjoy entertainment worldwide.

We are looking for aspiring engineers who dont just writecode buthave a genuine obsession with how pixels are processed.

We have an environment of 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. Youll be working on the development implementation test engineering and quality assurance of cutting-edge imaging/video processing algorithms Dolby Vision and related technologies. Mentored by our experienced senior engineers your work will contribute to our overall product and technology roadmap.

Responsibilities:

• 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/evaluationframeworks to support automated quality benchmarks.

• Utilize Python to build developer tools and automate complex engineering tasksand support ML experimentation workflowsimproving the overall efficiency of the development lifecycle.

• Leverage AI-assistedcodingtechniques(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.

Qualifications:

• Currently enrolled or recent graduated with a MS or PhD degrees in CS EE or a related field. Candidates with a Bachelors 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 qualityassessmentmethodologies 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.