Audio Engineer

Motorola Solutions•Plantation, FL

1d•$80,000 - $95,000•Onsite

About The Position

Motorola Solutions is seeking an Audio / Acoustical Engineer to join its Fort Lauderdale, Florida team and help develop two-way radio platforms for wireless speech communications. The role supports the development of audio architectures and technologies for first responders, military personnel, and public safety officers working in high-noise environments, where mission-critical P25 devices must provide clear, intelligible speech. The Audio Solutions team manages, maintains, develops, and improves audio quality across Motorola Solutions. The engineer will contribute to audio technology lifecycle management, signal-processing and machine-learning algorithm development, audio signal-path architecture, product assessment, and laboratory and field validation. The position also collaborates with Human Factors and Business teams to assess the customer-perceived value of audio technologies. The target base salary range is $80,000–$95,000 USD. The actual offer depends on job-related knowledge, skills, and experience. Travel is under 10%, and domestic relocation is provided. The position is identified as New Grad.

Requirements

Bachelor of Science degree in Electrical Engineering, Audio Engineering, Computer Science, Acoustics, or a related field, with 3+ years of relevant work experience; or a master’s degree in Acoustics, Computer Science, Electrical Engineering, or a related technical discipline.
Foundational proficiency in MATLAB or Python programming.
Working knowledge of compiled systems programming languages such as C or C++.
Exposure to writing and optimizing digital signal processing (DSP) algorithms.
Practical understanding of basic physical sound behavior, speaker and microphone mechanics, and foundational psychoacoustic concepts.
Ability to organize clear technical documentation, specifications, and reports using Google Workspace or Microsoft Office 365.
Ability to work effectively in cross-functional engineering teams to solve complex technical challenges.
Self-starter attitude, initiative to tackle ambiguous problems, and ability to drive solutions.
Optimistic, solution-oriented approach when navigating change, deadlines, feedback, and evolving project requirements.

Nice To Haves

Hands-on experience integrating modern AI development tools such as GitHub Copilot, Claude Code, or Devin.
Hands-on experience with industry-standard digital audio workstations such as Adobe Audition, Audacity, or other audio editing tools.
Theoretical grounding and practical familiarity with machine-learning frameworks and data-driven models applied to audio processing.

Responsibilities

Maintain foundational audio technologies and processing algorithms to support reliable, high-quality acoustic performance across hardware platforms.
Assist in developing new audio signal-processing and machine-learning approaches and algorithms.
Contribute to designing and implementing audio signal paths that dynamically balance noise suppression, microphone gain, wind porting, and speaker equalization to improve intelligibility.
Benchmark product performance using speech clarity and intelligibility metrics.
Conduct laboratory and field testing to measure speech intelligibility, frequency response, and acoustic distortion in high-decibel background environments.
Collaborate with Human Factors and Business teams to evaluate the customer-perceived value of new audio technologies.