Sr Audio Digital Signal Processing Engineer at The Walt Disney Company

Nicasio, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Entertainment, Media, FilmIndustries

Requirements

Bachelor’s Degree in Electrical Engineering, Computer Science, or a related field; equivalent professional experience considered. Master’s degree is preferred
5+ years of experience in DSP development, with applications in media, film, or entertainment industries
Strong knowledge of digital signal processing principles, including analog and digital filtering, audio effects, spectral and spatial analysis/synthesis, perceptual audio coding, parametric audio coding and dynamics processing
Proficiency in programming languages such as C/C++, Python, or MATLAB, with experience using collaborative Git workflows
Experience with containerized deployments (e.g., Docker)
Experience with optimization of processing for cloud and on-prem application deployment
Familiarity with modern CI/CD tools (e.g. GitLab CI/CD) for building and deploying software
Solid understanding of film audio standards and formats, including multichannel and immersive audio (e.g., Dolby Atmos, Ambisonics)
Experience with unit testing frameworks and automated test pipelines
Preferred Qualifications
Experience working with media production pipelines, including audio post-production workflows
Familiarity with audio processing libraries and plugin frameworks such as JUCE, CoreAudio, or PortAudio
Knowledge of machine learning frameworks and how they interact with DSP, such as using neural networks for audio effects
Expertise with audio file formats and metadata, including WAV, AIFF, and MXF containers
Contributions to open-source projects or published research in the field of audio DSP
Understanding of GPU acceleration for audio processing tasks
Knowledge of machine learning techniques, tools and libraries such as Pytorch

Responsibilities

Develop, implement, and optimize DSP algorithms for audio applications
Collaborate with AI/ML researchers, data scientists, and engineers to combine traditional DSP techniques with machine learning approaches
Ensure compliance with film and media audio standards, including channel formats (e.g., 5.1, 7.1, Atmos), bit depth, sample rates and timecode
Utilize collaborative development workflows, including GitLab, to manage source control and ensure clean, maintainable codebases
Leverage CI/CD pipelines for building, testing, and deploying DSP applications
Integrate DSP solutions into scalable, containerized environments using tools like Docker
Write and execute unit tests to validate algorithm accuracy and performance
Work with media-specific file containers (e.g., MXF, WAV, AIFF) and codecs, ensuring compatibility across workflows
Collaborate with cross-disciplinary teams to ensure solutions meet both technical and creative needs
Stay informed of emerging trends in audio technology, DSP, and media workflows to guide future development efforts