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Audio Signal Processing Jobs in Virginia (NOW HIRING)

... signal processing equipment * monitoring devices and equipment * Ability to communicate and ... Must exhibit advanced skills with complex audio mixing and editing techniques * Possess competent ...

Video Editor

Virginia Beach, VA · On-site

$53K - $56K/yr

... signal processing equipment * monitoring devices and equipment * Ability to communicate and ... Must exhibit advanced skills with complex audio mixing and editing techniques * Possess competent ...

... processors * Assist with system commissioning and signal testing Technical Skills Required * Ability to build clean, professional rack systems * Understanding of balanced vs unbalanced audio

... processors * Assist with system commissioning and signal testing Technical Skills Required * Ability to build clean, professional rack systems * Understanding of balanced vs unbalanced audio

Own the Process: Oversee AV system installations from start to finish-including pulling cable ... Strong knowledge of AV systems, signal flow, displays, projectors, control systems, and rack ...

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Audio Signal Processing information

See Virginia salary details

$53K

$130.2K

$191.8K

How much do audio signal processing jobs pay per year?

As of Jul 14, 2026, the average yearly pay for audio signal processing in Virginia is $130,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $146,200.00 per year, depending on experience, location, and employer.

What is an Audio Signal Processing job?

An Audio Signal Processing job involves analyzing, modifying, and enhancing sound signals using digital and analog techniques. Professionals in this field work with speech processing, music production, noise reduction, and sound recognition applications. They use algorithms, filters, and machine learning to manipulate audio for various industries, including entertainment, telecommunications, and healthcare. Knowledge of digital signal processing (DSP), programming languages like Python or MATLAB, and audio engineering principles is essential.

What are some typical projects or tasks that professionals in Audio Signal Processing work on?

Professionals in Audio Signal Processing often work on developing and optimizing algorithms for noise reduction, audio enhancement, speech recognition, and music analysis. Daily tasks may include analyzing audio datasets, simulating and testing signal processing algorithms, and collaborating with software engineers, hardware designers, or product developers to implement solutions. They frequently participate in both individual research and teamwork settings, requiring regular communication and problem-solving sessions. These projects are pivotal in industries like consumer electronics, telecommunications, automotive, and entertainment, offering diverse opportunities for learning and growth.

What are the key skills and qualifications needed to thrive in the Audio Signal Processing position, and why are they important?

To excel in Audio Signal Processing, a strong background in digital signal processing, mathematics, and proficiency in programming languages such as Python, MATLAB, or C++ is essential, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with industry-standard tools like MATLAB, LabVIEW, audio analysis software, and DSP hardware, as well as relevant certifications, is highly valuable. Critical thinking, problem-solving, and effective communication skills help professionals collaborate with multidisciplinary teams and convey complex technical concepts clearly. These proficiencies ensure effective development and optimization of audio algorithms, meeting project requirements and driving innovation in audio technologies.

What are the most commonly searched types of Audio Signal Processing jobs in Virginia? The most popular types of Audio Signal Processing jobs in Virginia are:
What job categories do people searching Audio Signal Processing jobs in Virginia look for? The top searched job categories for Audio Signal Processing jobs in Virginia are:

Data Scientist - Tech focus - Top Secret required to apply - DC area

Bow Wave LLC

Reston, VA • On-site

$165K - $175K/yr

Full-time

Re-posted 4 days ago


Job description

Conducts data analytics, data engineering, data mining, exploratory analysis, predictive

analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical,

written, visual and verbal narrative products, enabling more informed analytic decisions.

Proactively retrieves information from various sources, analyzes it for better understanding about

the data set, and builds AI tools that automate certain processes. Duties typically include:

creating various ML-based tools or processes, such as recommendation engines or automated

lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds

high quality prediction systems. Should be skilled in data visualization and use of graphical

applications, including Microsoft Office (Power BI) and Tableau; major data science languages,

such as R and Python; managing and merging of disparate data sources, preferably through R,

Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience

with large data Multi-INT analytics, ML, and automated predictive analytics.

Contractor shall:

• Create data packages, in the form of databases, reports, and visualization'

• Communicate ongoing data science activities, technical findings, and data products for both

technical and non-technical customers

• Extract relevant features from large data stores containing open source, PIA, and CAI,

containing bad records, partial records, errors, or other forms of "noising."

• Extract features from open source information stored in a wide range of possible formats,

including JSON, XML, raw text logs, industry-specific encodings, and graph link data;

• Apply natural language processing, computer vision, signal processing, and speaker and speech

recognition algorithms to identify objects in text, image, video, and audio files;

• Apply descriptive and inferential statistics to describe data and make

predictions about the data, including statistical tests to determine confidence for a hypothesis,

common summary statistics (e.g. mean, variance, and counts), fit distributions to datasets and

use those distributions to predict event likelihoods;

• Be able to execute data science method using parallel computing

frameworks (e.g. deepleaming4j, Torch, Tensor Flow, Caffe, Neon, NVIOFFICE CUDA Deep

Neural Network library (cuDNN), and OpenCV)) and distributed data processing frameworks

( e.g. Hadoop (including HDFS, Hbase, Hive, Impala, Giraph, Sqoop ), Spark (inlcuding MLib,

GraphX, SQL and Dataframes)

• Be able to execute data science method using common programming/scripting

languages: Python, Java, Scala, R (statistics).