Dolby Laboratories
Posted 67 days agoVerified live 16h ago
Acoustic Data Intern (Fall 2026)
Brief overview
San Francisco, CAIn-person
MastersOr in progress
$55–$62/hrStated range
PythonC++Machine learningAIAcoustic simulationsNumerical optimizationLinear optimizationNonlinear optimizationMicrophone array measurementLoudspeaker measurementDirection of arrival estimationBeamforming algorithmsRoom impulse response analysisAcoustic signal processingMonte Carlo analysisSQLSpark
About the company
Dolby Laboratoriesdolby.com
Dolby creates surround sound, imaging, and voice technologies for cinemas, home theaters, PCs, mobile devices, games, and more.
Job description
Summary
Dolby Laboratories is a leader in entertainment innovation, seeking an Acoustic Data Intern to join their Advanced Technology Group. The role involves developing technologies for immersive audio experiences and requires collaboration with a diverse team to produce high-quality outcomes.
Responsibilities
- Solve constrained linear and nonlinear optimization problems
- Formulate real-world problems as within optimization frameworks
- Measurement and simulation of microphone arrays and loudspeakers
- Direction of arrival estimation and beamforming algorithms
- Room impulse response analysis and general acoustic signal processing
- Monte Carlo analysis
- Data pipelines – continuous integration workflows, data models, SQL, Spark
- Visualization dashboards
- Write and maintain detailed technical documentation
- Communicate clearly with colleagues through technical discussions and presentations
- Read, write, and publish technical reports and papers
- Protect intellectual property by filing patents
Skills
- Pursuing a Master's or PhD degree in Electronic Engineering, Computer Science, Mathematics, Physics, or related fields
- Experience with Python, C/C++
- Experience with machine learning / AI
- Experience with acoustic simulations
- Familiarity with acoustic modeling tools e.g. COMSOL, Treble, pyroomacoustics
- Experience with measurement of real-world acoustics e.g. SMAART
- Experience with data visualization
- Experience with data intelligence platforms e.g. Databricks
Qualifications
Must Haves
- Pursuing a Master's or PhD degree in Electronic Engineering, Computer Science, Mathematics, Physics, or related fields
- Experience with Python, C/C++
- Experience with machine learning / AI
- Experience with acoustic simulations
Nice to Haves
- Familiarity with acoustic modeling tools e.g. COMSOL, Treble, pyroomacoustics
- Experience with measurement of real-world acoustics e.g. SMAART
- Experience with data visualization
- Experience with data intelligence platforms e.g. Databricks
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