Senior Staff Engineer, Audio/Video Signal Processing & Machine Learning

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, you’ll 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. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. 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.

We're looking for a Senior Staff Engineer to lead the development of next-generation audio and video solutions that combine advanced signal processing, machine learning, and embedded software engineering. Design and implement licensable audio and video technologies across the full development chain – from research and prototyping, through software implementation, to testing and quality assurance – and support internal and external customers.

What You'll Do

• Invent and prototype new audio and video experiences.
• Apply classical DSP and machine learning techniques to solve real-world challenges.
• Take concepts from research through to deployment on consumer devices.
• Develop high-performance, portable C/C++ software for embedded platforms.
• Lead system architecture, design reviews, and technical decision-making.
• Use AI-powered development tools to accelerate innovation and productivity.
• Drive complex engineering projects and influence technical direction.
• Mentor engineers and represent Dolby with customers and partners.

What You'll Bring

• Bachelor's degree or higher in Electrical Engineering, Computer Science, or related field.
• 10+ years' experience in embedded systems, and real-time software development.
• Deep expertise in DSP, machine learning techniques or applied mathematics.
• Hands-on experience deploying complex algorithms on edge devices.
• Strong C/C++ development skills and understanding of processor architectures.
• Proven track record leading complex technical projects and delivering production-ready solutions.
• Experience leveraging generative AI tools to improve engineering productivity.

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