Responsibilities
Research, design, and develop advanced signal processing algorithms with application to speech and audio
• Define and build new algorithms and add enhancements to existing algorithms to support human listening, machine listening, and other new experiences for communications
• Build specialized Machine Learning (ML) for resource constrained platforms (e.g., mobile/wearables). Explore new paradigms in AI and Machine Learning
• Hands-on implementation and optimization of algorithms for classical DSP and ML inference engines
• Contribute to roadmap planning for the next generation of platforms
• Collaborate with other researchers/scientists, engineers, cross-functional partners from multiple disciplines
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Solid understanding in fundamentals of Digital Signal Processing (DSP) and Machine Learning (ML)
• 5+ years of software development experience in audio, signal processing, or related technical domains
• 3+ years relevant audio software engineering experience including DSP/ML audio algorithm development in industry settings
• Demonstrated communication skills and experience working across disciplines to drive optimal solutions and supporting cross functional teams
• Experience with C or C++ and with scientific programming languages such as MATLAB, Python or similar
• Experience in any of the following areas: Small footprint ML, Differential DSP, Echo/Noise reduction, Spatial Processing, Hearing Aids
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• MS or PhD in Electrical Engineering, Computer Science or equivalent
• Proven track record of innovation as demonstrated by products shipped, publications and/or patents
• Expertise in audio signal processing both classical and machine learning techniques
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience developing GenAI systems
• Experience communicating technical concepts to peers, partners, and non-technical stakeholders through written and verbal channels (e.g., design docs, presentations, cross-functional reviews)
