Dolby Laboratories

Join Dolby as a QA / Software Engineer in Test developing comprehensive testing strategies and automation for innovative imaging and video software. You’ll work across research, development, and product teams to validate high-quality media solutions and Dolby technologies.

Dolby is seeking a Staff Machine Learning Engineer to build distributed data and AI/ML platforms that power low-latency, real-time audio and visual experiences across cloud and edge devices. The role combines research, software architecture, and applied machine learning in hybrid-cloud environments.

Build high-performance Dolby imaging and video algorithms that bring cinematic experiences to movies, television, games, and consumer devices. You will turn emerging technology proofs of concept into production-ready software libraries across multiple platforms.

Own the architecture and implementation of shared AI infrastructure, integrations, and production workflows across Dolby Cloud Solutions. This Staff Software Engineer will build AI-powered applications and establish the technical standards that enable teams to deploy reliable business solutions.

Lead the development of next-generation audio and video technologies combining digital signal processing, machine learning, and embedded software for consumer devices. This senior technical leadership role spans research, prototyping, implementation, deployment, and customer collaboration.

Build and operate large-scale data platforms and production ML systems that power Dolby’s AI and analytics workflows. This hands-on senior role spans data pipelines, model deployment, Kubernetes operations, and platform services.

Lead the translation of advanced AI and machine learning research into production-ready solutions for Dolby’s audio, video, and personalization products. This hands-on technical leadership role focuses on optimizing and deploying ML models across edge, embedded, GPU, and NPU platforms.

Staff Machine Learning Engineer at Dolby will build distributed data and AI/ML platforms that power low-latency, real-time streaming experiences across the cloud and edge. The role combines advanced research, cloud architecture, and immersive audio/visual applications.