Join the leader in entertainment innovation and help us design the future. The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work side by side with industry leaders. Amplify your insatiable curiosity by implementing real-world solutions that revolutionize how people communicate and how entertainment is created, delivered, and enjoyed worldwide. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. For any student seeking to gain invaluable expertise through meaningful, personal contributions, we invite you to join us in continuing to design a future where technology meets entertainment!

Dolby’s consumer entertainment and cinema businesses are bringing Dolby’s breakthrough technologies, powering the world’s top movies, TV shows, music, games, and live sports to more places around the world across a wider range of consumer experiences and devices.

At Dolby, science meets art, and high tech means more than computer code. As part of our team, you’ll contribute to technology that impacts entertainment experiences worldwide—from movie theaters to smartphones. 

We welcome aspiring engineers who are curious about how pixels are processed and who enjoy solving technical challenges collaboratively. 

Our state‑of‑the‑art R&D environment combines the resources of a global organization with the supportive feel of a close‑knit team. You’ll participate in developing, implementing, testing, and supporting imaging and video‑processing technologies—including Dolby Vision—alongside experienced engineers who will help guide your professional growth. 

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.
• 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. 

Qualifications 

• 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. 

Eligibility:

• Currently enrolled in a degree program 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. Must be available to work at least 3 days a week in office between September 2026 – February 2027.
• 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, 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. 

Start dates for the internship are as follows: (*note* this date is not flexible) 

• September 21, 2026 

The San Francisco/Bay Area base hourly range for this internship position is $50-55/hr and can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.

Interested in finding your next role at Dolby? More information and guided steps on this process, including building your career profile and interests, can be found in our Internal Mobility article on PeopleCare portal.

You can also reach out directly to the recruiter listed on the job posting or PeopleCare if you have any questions on the process.