Video Coding Researcher — Remote Eligible

Via Licensing Corporation; Sunnyvale (CA); Hybrid; USD 191,000 - 234,000; Full time

Job summary

Dolby seeks a senior researcher to advance video coding and processing technologies in Sunnyvale, CA. You will research and develop algorithms for next‑generation codecs, prototype proof‑of‑concept systems, and assess end‑to‑end performance across platforms.

You will publish results, contribute to standards discussions, and collaborate with ML specialists to integrate deep learning into video processing. Travel internationally and to Bay Area meetings as needed.

Qualifications

• Master's or Ph.D. in electrical engineering, computer engineering, or computer science or related field.
• 3–5 years of experience in developing video compression algorithms or learning-based visual computing.
• Strong research background in video or image coding and processing.
• Extensive programming in Python/C/C++ for image/video coding/processing and frameworks like TensorFlow/PyTorch.
• Track record of research, publications, or patents in video coding and processing.
• Excellent English communication; able to work in a team and independently.

Responsibilities

• Research and develop advanced video processing technologies to improve quality and efficiency.
• Create and prototype algorithms; evaluate end-to-end performance across platforms.
• Document and present new algorithms via standards contributions, papers, and white papers.
• Represent Dolby technology interests in industry groups and standards bodies.
• Maintain high technical and ethical standards in the workplace.

Skills

Video coding

Deep learning

Python

C/C++

English communication

Team collaboration

Education

Master's or Ph.D. in EE/CE/CS

Tools

TensorFlow

PyTorch

Job description

Dolby seeks a senior researcher to advance video coding and processing technologies in Sunnyvale, CA. You will research and develop algorithms for next‑generation codecs, prototype proof‑of‑concept systems, and assess end‑to‑end performance across platforms.

You will publish results, contribute to standards discussions, and collaborate with ML specialists to integrate deep learning into video processing. Travel internationally and to Bay Area meetings as needed.