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Lead Audio DSP Engineer

Job Description

Magic Leap is seeking an audio digital signal processing engineer experienced with microphone front-end signal processing, active noise cancellation/mitigation, and rapid algorithm prototyping/implementation to join our team developing next-generation audio signal processing technology for mixed-reality devices.

Responsibilities:

• Design, implement, and test audio DSP algorithms, taking them from design specification to prototypes and, ultimately, bulletproof and production-ready C++ code.
• Maintain ongoing alignment with project stakeholders regarding product requirements, schedules, prototypes, demonstrations, and deliverables.
• Implement and optimize software build, release, testing and documentation processes to ensure reliable and effective internal and cross-functional deployment of the technology under strict schedule constraints.
• Provide expert assistance to other team members and teams as appropriate.

• Collaborate effectively and proactively with internal and external developer communities to ensure effective release, maintenance, evangelization and continuous improvement of the user experience .

Qualifications:

Required:

• Deep knowledge of audio, acoustics, psychoacoustics, digital signal processing, noise cancellation, adaptive filters, and C++.
• Solid knowledge of adaptive filters, microphone array beamforming, echo cancellation and active noise cancellation algorithms.
• Experience designing and implementing audio DSP algorithms given stakeholder requirements.
• Solid skills and comfort working in a fast-paced, distributed, get-it-done team environment.
• Solid written and oral communication skills.
• Experience with professional software design tools and techniques: software version control systems such as Git/Gerrit and Perforce, performing code reviews of your own and/or other people’s code, testing, documentation, and planning/operating in an Agile/Scrum environment.

Preferred:

• Ninja-level MATLAB, Python, and C/C++ skills.
• Experience designing and shipping commercial software applications or systems.
• Experience with troubleshooting hardware/software interactions.
• Experience with hardware implementation and testing of DSP algorithms.
• Experience with machine-learning and machine-listening techniques.
• Experience with feature engineering, deep learning, and design tradeoffs.
• Experience in structured evaluation of commercially available algorithms and crafting build-vs-buy recommendations.

Education:

• BA/BS in Computer Science or Electrical Engineering is required. MSc/MA or PhD preferred.

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