Company Overview

At Motorola Solutions, we're guided by a shared purpose - helping people be their best in the moments that matter - and we live up to our purpose every day by solving for safer. Because people can only be their best when they not only feel safe, but are safe. We're solving for safer by building the best possible technologies across every part of our safety and security ecosystem. That's mission -critical communications devices and networks, AI-powered video security & access control and the ability to unite voice, video and data in a single command center view. We're solving for safer by connecting public safety agencies and enterprises, enabling the collaboration that's critical to connect those in need with those who can help. The work we do here matters.

Department Overview

Design & Develop communication devices used in professional & mission critical markets of the commercial, government & industrial segment

Job Description

• The Audio AI Engineer will be responsible for designing and implementing advanced audio processing algorithms using artificial intelligence and machine learning techniques. The ideal candidate will have a strong background in signal processing, AI, and machine learning, as well as experience with audio data.
• Research, develop, and implement AI and ML models for audio signal processing tasks such as speech recognition, sound classification, noise reduction, and audio synthesis.
• Collaborate with engineers to integrate AI models into software and hardware products.
• Optimize audio AI algorithms for performance and scalability on various platforms, including cloud-based services and edge devices.
• Work with large audio datasets to train and validate machine learning models.
• Stay up-to-date with the latest advancements in AI, machine learning, and audio processing technologies.
• Troubleshoot and improve existing audio AI systems.
• Write clean, efficient, and well-documented code.
• Participate in the full software development lifecycle, from design to deployment and maintenance.
• Communicate effectively with team members and stakeholders to understand requirements and provide insights on AI capabilities.

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Basic Requirements

• Bachelor's Degree or Master in Computer Science, Electrical Engineering, or a related field with a focus on audio signal processing and machine learning.
• Proficiency in programming languages such as Python, C++, or Java.
• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch)
• Experience with digital signal processing and audio analysis techniques.
• Knowledge of deep learning architectures relevant to audio processing (e.g., CNNs, RNNs, Transformers).
• Familiarity with cloud computing services (e.g., AWS, Google Cloud Platform) and edge computing.
• Ability to work in a fast-paced environment and manage multiple projects effectively.
• Excellent problem-solving, analytical, and communication skills.

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Travel Requirements

None

Relocation Provided

None

Position Type

Experienced

Referral Payment Plan

Yes

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please email [email protected].