PhD Research Intern - Imaging Technology (Summer '26)

Join the leader in entertainment innovation and help us design the future. The Advanced Technology Group (ATG) is the research division of the company. ATG's mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby's continued growth. As a valued member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. We continuously push the boundaries of audio, imaging, and cloud technology to create spectacular entertainment experiences.

As a diverse and dynamic group, our ATG researchers work on cutting-edge projects related to computer science and electrical engineering for audio, video, and cloud technologies, exploring exciting domains such as AI/ML, algorithms, digital signal processing, audio processing, image processing, computer vision, AR/VR, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.

What is the Research Internship Program?

As a Research Intern at Dolby, you will have the opportunity to define and lead your own pioneering research project that connects big-picture change with the meticulous detail of technological innovation. Our intern research projects are driven by a greater purpose: enhancing the human experience.

This opportunity will be based out of our research offices in Sunnyvaleor Atlantadepending on the role.

What are we looking for in candidates?

We are seeking current PhDstudents with a diverse range of backgrounds and experiences. To be eligible, you should have completed at least one year of your doctoral program. Along with solid technical skills, candidates should demonstrateproblem-solvingand analytical abilities, goodcommunicationandcollaborationskills, acuriosityfor how and why things work as they do, and a passionfor audio, video, movies, music, or game technology. You have a desire to bring in new ideas and are open to learning from others.

• Working towards a PhD in Electrical Engineering, Computer Science, or related field.

• Demonstrated application of computer vision methods to real-world problems.

• Solid background in the theory of image/video processing, and mathematics.

• Proven ability to demonstrate results through projects, prototypes, patent filings, and papers in peer reviewed journals and conferences.

• Proficiency in MATLAB, C/C++, or Python

• Excellent written and verbal communication skills.

• Machine learning applied to computer vision problems

• Image processing with new sensors: RGB, SPAD, Event-based sensors

• Image capture, fusion

• Color science and human perception, cross-modal or multi-modal perception

• Machine learning/deep learning-based video compression approaches

• Volumetric video representations, novel view synthesis (3D, NeRF, light field, Gaussian Splatting) and compression.

• Novel computer graphics techniques for image rendering

• Video pre-/post-processing algorithms with deep learning

• Experience with game engines such as Unity or Unreal Engine, particularly in research contexts

• Semantic computer vision

• Multi-modal (combination of video, audio, 360, 3D) representations and algorithms

• Human machine interface; sensor, identification/recognition/tracking, computer vision, and deep learning, measuring engagement

• Experience with recommendation algorithms

• Experience with using generative AI and large foundation models for research purposes. Experience with building agentic AI framework is a plus

• Experience with hardware prototyping platforms (Arduino, Raspberry Pi, Jetson)

• Practical experience in one or more of the aforementioned innovation zones

• May 18, 2026 or

• June 15, 2026